Serum Vitamin A Level Measurement in Slaughtered and Live Cattle. Using Multispectral Imaging
|
|
- Christal Wright
- 5 years ago
- Views:
Transcription
1 Research Paper EAEF 3(2) : 42-46, 21 Serum Vitamin A Level Measurement in Slaughtered and Live Cattle Using Multispectral Imaging Noriko TAKAHASHI 1, Naoshi KONDO 2, Nguyen Quoc TUAN 1, Shoichi MANO 1, Tomoo SHIIGI 2, Hiroshi SHIMIZU 2, Moriyuki FUKUSHIMA 3, Fumiyuki IWAKI 3, Osamu WATANABE 3, Kazuyuki FUKUZONO 4, Mamoru NAKANO 5 Abstract The optimum wavelength for measuring pupil reflection in order to estimate serum vitamin A level in slaughtered and live cattle was investigated. A multispectrum camera was used to obtain the eye images. The highest coefficient of determination.76 between pupil reflection and serum vitamin A level was obtained at 5 nm. Since the photosensitive pigment rhodopsin has a maximum absorption of about 5 nm, the results suggest that 5 nm could be the optimum wavelength for measuring pupil reflection. [Keywords] beef quality, multispectrum camera, non-invasive, serum vitamin A I Introduction Serum vitamin A (V.A) is essential for cattle growth and is an important indicator of beef quality in Japan (Adachi et al., 1999). To produce high quality meat, serum V.A should be maintained at a low level, about 3 IU/dl, in cattle from 16 to 24 months of age. Since V.A deficiency (less than 3 IU/dl) can induce serious diseases in cattle, e.g., night blindness, diarrhea, xerophthalmia, convulsive seizures, and other infections (O Donoghue, 1955; Adachi et al., 1998; National Research Council, 2), it is essential to monitor serum V.A level carefully to maintain it above 3 IU/dl. Because the conventional blood assay used to measure serum V.A is time-consuming, expensive, and stressful to the cattle, a non-invasive method is needed. An unpublished study, in which 47-nm blue LED light was used with live cattle, showed that serum V.A level was related to pupil reflection. However, the optimum light wavelength to detect pupil reflection for estimating serum V.A level in live cattle is still unknown, and little is known about the relationship between pupil reflection and serum V.A in slaughtered cattle. The objective of the present study was to determine the optimum wavelength for measuring pupil reflection using a multispectrum camera in order to estimate serum V.A level in slaughtered and live cattle. II Materials Thirty live and eight slaughtered cattle were selected from cattle raised at the Hyogo Prefectural Hokubu Agricultural Institute. Live Japanese Black cattle and eye samples from slaughtered Japanese Black cattle were used to measure pupil reflection. 1. Live cattle eyes Pupil reflection was measured in the left eyes of thirty live cattle. A representative image of an eye from the live cattle is shown in Fig. 1(a). 2. Eyeballs Eight eyeballs were obtained from slaughtered cattle (Fig. 1 (b)). The eyeball samples were taken randomly from either right or left eyes. 3. Eyegrounds Eight eyegrounds were obtained by cutting the eyeballs and removing the glass body. The eyeground covered with retina includes a bright part known as the tapetum (Fig. 1 (c)) and a dark part (Fig. 1 (d)); the tapetum being symmetric for right and left eyes. The eyeground samples were taken randomly 1 Corresponding author: Graduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-ku, Kyoto , Japan. norikot@kais.kyoto-u.ac.jp 2 JSAM Member, Graduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-ku, Kyoto , Japan 3 Hyogo Prefectural Hokubu Agricultural Inst., Department of Beef Cattle Production, 123 Yasui, Wadayama, Asago, Hyogo , Japan 4 Seiwa Electric MFG Co., Ltd., Development Laboratory, 36 Terada-Shinike, Joyo, Kyoto , Japan 5 YPTECH Co., Ltd. Yuraku-cho Building, 1-1 Yuraku-cho 1-chome, Chiyoda-ku, Tokyo 1-6, Japan
2 TAKAHASHI, KONDO, TUAN, MANO, SHIIGI, SHIMIZU, FUKUSHIMA, IWAKI, WATANABE, 43 FUKUZONO, NAKANO : Serum Vitamin A Level Measurement in Slaughtered and Live Cattle Using Multispectral Imaging from either right or left eyes, and both bright and dark parts of the eyeground were examined. III Devices and methods 1. Experimental devices The multispectrum camera used in the present study, comprising a CCD camera (FC145, Takex, Japan) and tunable filter (VariSpec, Cambridge Research & Instrumentation, Inc., USA), is shown in Fig. 2. The spectrum distribution ranged from to 72 nm with a resolution of 1 nm. The camera condition was adjusted for capturing images of live and slaughtered cattle eyes, as shown in Table 1. Halogen lamps (12V5WAKW, Philips, Japan) were used to obtain a pupil reflection, at a light intensity of, lx for live cattle and 12, lx for slaughtered cattle. The spectrum distribution in transmittance of the tunable filters and lens, sensitivity of the CCD camera, relative energy of the halogen lamp, and total relative sensitivity of these devices are shown in Fig. 3. (a) (c) (b) (d) Fig. 1 Sample images of (a) live bovine eye; (b) eyeball; (c) and (d) eyeground. The eyeball and eyeground were obtained from slaughtered cattle. The eyeground includes a bright part called the tapetum (c) and a dark part (d). Relative transmittance (%) Sensitivity (%) Relative sensitivity (%) Table 1 Multispectrum camera condition Live cattle eye Eyeball* Eyeground* *obtained from slaughtered cattle Gain Offset Shutter speed (ms) (a) (b) (c) Relative energy (%) Fig. 2 Multispectrum camera used in the present study. Fig. 3 Spectrum distribution in transmittance of (a) tunable filters (solid line) and lens (dotted line), (b) sensitivity of CCD camera (solid line) and relative energy of halogen lamp (dotted line), and (c) total relative sensitivity of CCD camera, lens, tunable filters, and halogen lamp.
3 44 Engineering in Agriculture, Environment and Food Vol. 3, No. 2 (21) 2. Methods The images were processed using image processing software (WinROOF, Mitani Corporation, Japan) to extract the pupil area from the image and to measure the mean of gray scale (Figs. 4 and 5). First, the pupil area was detected. Second, the image was binarized with threshold 25 to eliminate the halation by lighting. Third, the image was inverted to obtain the mean of gray scale. Serum V.A level was simultaneously measured using a conventional blood assay test as the pupil reflection was measured by the camera. Both bright and dark parts of the eyeground were examined to determine the mean of gray scale for reflection measurement. The relationship between pupil reflection and serum V.A level was subsequently investigated. Pupil area detection Binarization (Threshold: 25) Inversion Histogram calculation gray scale from pupil reflection increased linearly with increasing serum V.A level (Fig. 7). Since the photosensitive pigment rhodopsin has a maximum absorption of about 5 nm (Kim et al., 21, 23), these results suggest that 5 nm could be the optimum wavelength for measuring pupil reflection Fig. 6 Coefficient of determination between pupil reflection and serum vitamin A level in slaughtered cattle at different wavelengths. 6 Fig. 4 Flow chart of image processing to determine the mean of gray scale. Meanofgrayscale R²= SerumVitaminAlevel(IU/dl) Fig. 7 Relationship between the mean of gray scale from pupil reflection and serum vitamin A level in slaughtered cattle at 5 nm. Fig. 5 Eye image processing using WinROOF software. The eye sample shown here was obtained from slaughtered cattle. IV Results and discussion 1. Eyeball from slaughtered cattle Serum V.A level in slaughtered cattle was 27 to 112 IU/dl. The coefficient of determination between pupil reflection and serum V.A level ranged from.21 to.76, the highest value occurring at the 5-nm wavelength (Fig. 6). The mean of 2. Eyeground from slaughtered cattle eye Both bright and dark parts of the eyeground were examined to determine the mean of gray scale for reflection measurement. No significant correlation between eyeground reflection at the bright part and serum V.A level was observed (Fig. 8), whereas a significant correlation was observed between eyeground reflection at the dark part and serum V.A level at 72 nm (Fig. 9). The coefficient of determination was.55 at 72 nm. Although there have been no reports on rhodopsin at this wavelength, this wavelength might be viable
4 TAKAHASHI, KONDO, TUAN, MANO, SHIIGI, SHIMIZU, FUKUSHIMA, IWAKI, WATANABE, 45 FUKUZONO, NAKANO : Serum Vitamin A Level Measurement in Slaughtered and Live Cattle Using Multispectral Imaging for serum V.A estimation using eyeground reflection at the dark part. No significant correlation between reflection of the entire eyeground and serum V.A level was observed (Fig. 1). This result suggests that it is essential to examine both bright and dark parts of the eyeground to determine the correlation between serum V.A level and pupil reflection Fig. 8 Coefficient of determination between eyeground reflection (bright part) and serum vitamin A level in slaughtered cattle at different wavelengths Fig. 9 Coefficient of determination between eyeground reflection (dark part) and serum vitamin A level in slaughtered cattle at different wavelengths Fig. 1 Coefficient of determination between whole eyeground reflection (bright and dark parts) and serum vitamin A level in slaughtered cattle at different wavelengths. 3. Live cattle eye Serum V.A level in live cattle was 25 to 13 IU/dl. The coefficient of determination between pupil reflection and serum V.A level was from to.18 (Fig. 11). No significant correlation between pupil reflection and serum V.A level was observed at 5 nm (Fig. 12). Since lighting decreased pupil area (Fig. 13), the light intensity used would not have been optimum for measuring pupil reflection in live cattle. Taking the effect of the pupil area on these data into consideration, no significant correlation between the mean of gray scale divided by pupil area, and serum V.A level, was observed (Fig. 14). It has been reported that the speed of pupil reflex to light is related to the level of serum V.A (Matsuda et al., 2); therefore, it is essential to consider what light intensity should be used to obtain a normal pupil unaffected by lighting Fig. 11 Coefficient of determination between pupil reflection and serum vitamin A level in live cattle at different wavelengths.
5 46 Engineering in Agriculture, Environment and Food Vol. 3, No. 2 (21) Meanofgrayscale R²= Serum VitaminA level(iu/dl) Fig. 12 Relationship between the mean of gray scale from pupil reflection and serum vitamin A level in live cattle at 5 nm. Meanofgrayscale/pupilarea R²=.164 Pupil Fig. 13 Example of pupil image using a multispectrum camera in live cattle Serum VitaminA level(iu/dl) Fig. 14 Relationship between mean of gray scale divided by pupil area, and serum vitamin A level in live cattle at 5 nm. V Conclusions A linear relationship between pupil reflection and serum V.A level was shown, the highest coefficient of determination (.76) occurring at 5 nm in slaughtered cattle. No significant correlation between eyeground reflection at the bright part and serum V.A level was observed, whereas a significant correlation between serum V.A level and eyeground reflection at the dark part was observed at 72 nm. However, the significance of this wavelength should be investigated further. For live cattle, no significant correlation between pupil reflection and serum V.A level was observed at the 5-nm wavelength. Therefore, the appropriate light intensity for obtaining a normal pupil unaffected by lighting must be considered in future studies. Acknowledgements This study was supported by the Bio-oriented Technology Research Advancement Institution (28-21). References Adachi, K., H. Kawamoto, Y. Komura, Y. Yamamoto, A. Arikawa, A. Tsujii, M. Adachi, T. Onumaru, K. Ohwada Relationship between serum biochemical values and marbling scores in Japanese black steers. Journal of Veterinary Medicine Science 61: Adachi, K., K. Fukumoto, Y. Komura, N. Katsura, A. Arikawa, A. Tsuji, T. Onumaru, Significant decrease of serum vitamin A level in Japanese black beef steers after introduction to a farm. Journal of Veterinary Medicine Science 6: Kim, J. E., M. J. Tauber, R. A. Mathies, 21. Wavelength dependent Cis-Trans Isomerization in Vision. Biochemistry : Kim, J. E., M. J. Tauber, R. A. Mathies, 23. Analysis of the mode-specific excited-state energy distribution and wavelength-dependent photoreaction quantum yield in rhodopsin. Biophysical Journal 84: Matsuda, K., A. Watanabe, T. Ichijo, S. Yashima, K. Ujiie, A. Kawana, The relationship between blood vitamin A concentration and oculopupillary reflex in Japanese black fattening cattle. Journal of Veterinary Clinic 47: National research council, 2. Nutrient requirements of beef cattle. Seventh revised edition National academy press, United States. O donoghue, J. G., Vitamin A deficiency in beef cattle. Canadian Journal of Comparative Medicine 12: (Received: 29. July. 29, Accepted: 22. January. 21)
The Relationship between Serum Vitamin A Level of Japanese Black Cattle and Light Reflection on the Pupil
The Relationship between Serum Vitamin A Level of Japanese Black Cattle and Light Reflection on the Pupil Shinya Tanigawa, Naoshi Kondo, Yuichi Ogawa, Tateshi Fujiura, Han Shuqing, Yoshie Takao, Moriyuki
More informationImprovement of Accuracy in Remote Gaze Detection for User Wearing Eyeglasses Using Relative Position Between Centers of Pupil and Corneal Sphere
Improvement of Accuracy in Remote Gaze Detection for User Wearing Eyeglasses Using Relative Position Between Centers of Pupil and Corneal Sphere Kiyotaka Fukumoto (&), Takumi Tsuzuki, and Yoshinobu Ebisawa
More informationUse of Machine Vision to Sort Tomato Seedlings for Grafting Robot
Research Paper EAEF 4(4) : 119-125, 2011 Use of Machine Vision to Sort Tomato Seedlings for Grafting Robot Muhammad Ali ASHRAF *1, Naoshi KONDO *2, Tomoo SHIIGI *2 Abstract Using a machine vision with
More informationPrediction of Color Appearance Change of Digital Images under Different Lighting Conditions Based on Visible Spectral Data
Prediction of Color Appearance Change of Digital Images under Different Lighting Conditions Based on Visible Spectral Data Ken-ichiro Suehara, Makoto Hashimoto, Takaharu Kameoka and Atsushi Hashimoto Division
More informationscotopic, or rod, vision, and precise information about the photochemical
256 J. Physiol. (I94) IOO, 256-262 6I2.392.01:6I2.843. 6 I I AN INVESTIGATION OF SIMPLE METHODS FOR DIAGNOSING VITAMIN A DEFICIENCY BY MEASUREMENTS OF DARK ADAPTATION BY D. J. DOW AND D. M. STEVEN From
More informationChapter Human Vision
Chapter 6 6.1 Human Vision How Light Enters the Eye Light enters the eye through the pupil. The pupil appears dark because light passes through it without reflecting back Pupil Iris = Coloured circle of
More informationTitle: Laser marking with graded contrast micro crack inside transparent material using UV ns pulse
Cover Page Title: Laser marking with graded contrast micro crack inside transparent material using UV ns pulse laser Authors: Futoshi MATSUI*(1,2), Masaaki ASHIHARA(1), Mitsuyasu MATSUO (1), Sakae KAWATO(2),
More informationThe Eye. Morphology of the eye (continued) Morphology of the eye. Sensation & Perception PSYC Thomas E. Van Cantfort, Ph.D
Sensation & Perception PSYC420-01 Thomas E. Van Cantfort, Ph.D The Eye The Eye The function of the eyeball is to protect the photoreceptors The role of the eye is to capture an image of objects that we
More information10/8/ dpt. n 21 = n n' r D = The electromagnetic spectrum. A few words about light. BÓDIS Emőke 02 October Optical Imaging in the Eye
A few words about light BÓDIS Emőke 02 October 2012 Optical Imaging in the Eye Healthy eye: 25 cm, v1 v2 Let s determine the change in the refractive power between the two extremes during accommodation!
More informationThe Special Senses: Vision
OLLI Lecture 5 The Special Senses: Vision Vision The eyes are the sensory organs for vision. They collect light waves through their photoreceptors (located in the retina) and transmit them as nerve impulses
More informationBIOPHYSICS OF VISION GEOMETRIC OPTICS OF HUMAN EYE. Refraction media of the human eye. D eye = 63 diopter, D cornea =40, D lens = 15+
BIOPHYSICS OF VISION THEORY OF COLOR VISION ELECTRORETINOGRAM Two problems: All cows are black in dark! Playing tennis in dark with illuminated lines, rackets, net, and ball! Refraction media of the human
More informationPSY 214 Lecture # (09/14/2011) (Introduction to Vision) Dr. Achtman PSY 214. Lecture 4 Topic: Introduction to Vision Chapter 3, pages 44-54
Corrections: A correction needs to be made to NTCO3 on page 3 under excitatory transmitters. It is possible to excite a neuron without sending information to another neuron. For example, in figure 2.12
More informationDigital Image Processing
Digital Image Processing Lecture # 3 Digital Image Fundamentals ALI JAVED Lecturer SOFTWARE ENGINEERING DEPARTMENT U.E.T TAXILA Email:: ali.javed@uettaxila.edu.pk Office Room #:: 7 Presentation Outline
More informationDemonstration of a Frequency-Demodulation CMOS Image Sensor
Demonstration of a Frequency-Demodulation CMOS Image Sensor Koji Yamamoto, Keiichiro Kagawa, Jun Ohta, Masahiro Nunoshita Graduate School of Materials Science, Nara Institute of Science and Technology
More informationDevelopment of an Automatic Measurement System of Diameter of Pupil
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 22 (2013 ) 772 779 17 th International Conference in Knowledge Based and Intelligent Information and Engineering Systems
More informationScienceDirect. Improvement of the Measurement Accuracy and Speed of Pupil Dilation as an Indicator of Comprehension
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 35 (2014 ) 1202 1209 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems
More information11/23/11. A few words about light nm The electromagnetic spectrum. BÓDIS Emőke 22 November Schematic structure of the eye
11/23/11 A few words about light 300-850nm 400-800 nm BÓDIS Emőke 22 November 2011 The electromagnetic spectrum see only 1/70 of the electromagnetic spectrum The External Structure: The Immediate Structure:
More informationBASLER A601f / A602f
Camera Specification BASLER A61f / A6f Measurement protocol using the EMVA Standard 188 3rd November 6 All values are typical and are subject to change without prior notice. CONTENTS Contents 1 Overview
More informationDigital Imaging Systems for Historical Documents
Digital Imaging Systems for Historical Documents Improvement Legibility by Frequency Filters Kimiyoshi Miyata* and Hiroshi Kurushima** * Department Museum Science, ** Department History National Museum
More informationThe Human Eye and a Camera 12.1
The Human Eye and a Camera 12.1 The human eye is an amazing optical device that allows us to see objects near and far, in bright light and dim light. Although the details of how we see are complex, the
More informationIII III 0 IIOI DID IIO 1101 I II 0II II 100 III IID II DI II
(19) United States III III 0 IIOI DID IIO 1101 I0 1101 0II 0II II 100 III IID II DI II US 200902 19549A1 (12) Patent Application Publication (10) Pub. No.: US 2009/0219549 Al Nishizaka et al. (43) Pub.
More informationCapturing Light in man and machine
Capturing Light in man and machine 15-463: Computational Photography Alexei Efros, CMU, Fall 2008 Image Formation Digital Camera Film The Eye Digital camera A digital camera replaces film with a sensor
More informationInternational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 5. Hakodate 1998
International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 5. Hakodate 1998 EXPERIMENTAL STUDY ON RICE GROWTH DYNAMIC MONITORING BY DIGITAL PHOTOGRAPHS MegumiYAMASHITA PASCO INTERNATIONAL
More informationUse of a Digital Camera to Collect Carcass Data from Experimental Cattle
Use of a Digital Camera to Collect Carcass Data from Experimental Cattle A.S Leaflet R50 Allen Trenkle, professor of animal science Chris Iiams, graduate research assistant Summary A digital camera was
More informationCOW S EYE. dissection. Dissecting a Cow s Eye Step-by-Step Instructions. Safety first!
COW S EYE dissection Dissecting a Cow s Eye Step-by-Step Instructions One way to figure out how something works is to look inside it. To learn about how your eyes work, you can dissect, or take apart,
More informationAplications of Laser Induced Chlorophyll Fluorescence Imaging to detect Environmental Effect on Spinach Plant
Aplications of Laser Induced Chlorophyll Fluorescence Imaging to detect Environmental Effect on Spinach Plant Minarni Shiddiq 1,a, Zulkarnain 1, Tengku Emrinaldi 1, Fitria Asriani 1, Iswanti Sihaloho 1,
More informationA piece of white paper can be 1,000,000,000 times brighter in outdoor sunlight than in a moonless night.
Light intensities range across 9 orders of magnitude. A piece of white paper can be 1,000,000,000 times brighter in outdoor sunlight than in a moonless night. But in a given lighting condition, light ranges
More informationVision. By: Karen, Jaqui, and Jen
Vision By: Karen, Jaqui, and Jen Activity: Directions: Stare at the black dot in the center of the picture don't look at anything else but the black dot. When we switch the picture you can look around
More informationInfluence of Photo-illumination on Greenish Metallic Luster of Safflower Red Pigment Film
18 Bull. Soc. Photogr. Imag. Japan. (18) Vol. 28 No. 2: 18 22 Letter Influence of Photo-illumination on Greenish Metallic Luster of Safflower Red Pigment Film Hitoshi Yajima, Maiko Sasaki, Keiko Takahashi,
More informationBiology 70 Slides for Lecture 1 Fall 2007
Biology 70 Part II Sensory Systems www.biology.ucsc.edu 1 2 intensity vs spatial position (image formation) color 3 4 motion depth (monocular) 5 6 1 depth (binocular) 1. In the lectures on perception we
More informationColor Perception. Color, What is It Good For? G Perception October 5, 2009 Maloney. perceptual organization. perceptual organization
G892223 Perception October 5, 2009 Maloney Color Perception Color What s it good for? Acknowledgments (slides) David Brainard David Heeger perceptual organization perceptual organization 1 signaling ripeness
More informationSCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to:
SCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to: Eric Hamber Secondary 5025 Willow Street Vancouver, BC Table of Contents A. Chapter 6.1 Parts of the eye.. Parts of
More informationPrediction Method of Beef Marbling Standard Number Using Parameters Obtained from Image Analysis for Beef Ribeye
Prediction Method of Beef Marbling Standard Number Using Parameters Obtained from Image Analysis for Beef Ribeye Keigo KUCHIDA, Shogo TSURUTA1, a, L. D. Van Vleck2, Mitsuyoshi SUZUKI and Shunzo MIYOSHI
More informationRefraction of Light. Refraction of Light
1 Refraction of Light Activity: Disappearing coin Place an empty cup on the table and drop a penny in it. Look down into the cup so that you can see the coin. Move back away from the cup slowly until the
More informationVision Science I Exam 1 23 September ) The plot to the right shows the spectrum of a light source. Which of the following sources is this
Vision Science I Exam 1 23 September 2016 1) The plot to the right shows the spectrum of a light source. Which of the following sources is this spectrum most likely to be taken from? A) The direct sunlight
More informationA Vehicle Speed Measurement System for Nighttime with Camera
Proceedings of the 2nd International Conference on Industrial Application Engineering 2014 A Vehicle Speed Measurement System for Nighttime with Camera Yuji Goda a,*, Lifeng Zhang a,#, Seiichi Serikawa
More informationFourier Transformation Hologram Experiment using Liquid Crystal Display. Kenji MISUMI, Yoshikiyo KASHII, Mikio MIMURA (Received September 30, 1999)
Mem. Fac. Eng., Osaka City Univ., Vol. 40, pp. 85-91 (1999) Fourier Transformation Hologram Experiment using Liquid Crystal Display Kenji MISUMI, Yoshikiyo KASHII, Mikio MIMURA (Received September 30,
More informationBasler aca640-90gm. Camera Specification. Measurement protocol using the EMVA Standard 1288 Document Number: BD Version: 02
Basler aca64-9gm Camera Specification Measurement protocol using the EMVA Standard 1288 Document Number: BD584 Version: 2 For customers in the U.S.A. This equipment has been tested and found to comply
More informationRecognition of very low-resolution characters from motion images captured by a portable digital camera
Recognition of very low-resolution characters from motion images captured by a portable digital camera Shinsuke Yanadume 1, Yoshito Mekada 2, Ichiro Ide 1, Hiroshi Murase 1 1 Graduate School of Information
More informationRefraction and Lenses
Refraction and Lenses Name Q.(a) Figure shows a ray of light entering a glass block. (i) The angle of incidence in Figure is labelled with the letter i. On Figure, use the letter r to label the angle of
More informationPerson s Optics Test KEY SSSS
Person s Optics Test KEY SSSS 2017-18 Competitors Names: School Name: All questions are worth one point unless otherwise stated. Show ALL WORK or you may not receive credit. Include correct units whenever
More informationDevelopment of Hybrid Image Sensor for Pedestrian Detection
AUTOMOTIVE Development of Hybrid Image Sensor for Pedestrian Detection Hiroaki Saito*, Kenichi HatanaKa and toshikatsu HayaSaKi To reduce traffic accidents and serious injuries at intersections, development
More informationA simple multi-band wire inverted-f antenna for cellular application inside handset terminals
A simple multi-band wire inverted-f antenna for cellular application inside handset terminals Tuan Hung Nguyen 1, Takashi Oki 1, Hisashi Morishita 1a), Hiroshi Sato 2, and Yoshio Koyanagi 2 1 Electrical
More informationRange of Acceptable Illuminance by LED Colors in Indoor Spaces
Range of Acceptable Illuminance by LED Colors in Indoor Spaces - Focus on Occupants Comfort and Communications in Living Rooms - Taeyon Hwang 1, Dong Gi Lee 2*, Jeong Tai Kim 1 1 Department of Architectural
More informationCapturing Light in man and machine. Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al.
Capturing Light in man and machine Some figures from Steve Seitz, Steve Palmer, Paul Debevec, and Gonzalez et al. 15-463: Computational Photography Alexei Efros, CMU, Fall 2005 Image Formation Digital
More informationVision. The eye. Image formation. Eye defects & corrective lenses. Visual acuity. Colour vision. Lecture 3.5
Lecture 3.5 Vision The eye Image formation Eye defects & corrective lenses Visual acuity Colour vision Vision http://www.wired.com/wiredscience/2009/04/schizoillusion/ Perception of light--- eye-brain
More informationCOLOR CORRECTION METHOD USING GRAY GRADIENT BAR FOR MULTI-VIEW CAMERA SYSTEM. Jae-Il Jung and Yo-Sung Ho
COLOR CORRECTION METHOD USING GRAY GRADIENT BAR FOR MULTI-VIEW CAMERA SYSTEM Jae-Il Jung and Yo-Sung Ho School of Information and Mechatronics Gwangju Institute of Science and Technology (GIST) 1 Oryong-dong
More information9/10/2013. Incoming energy. Reflected or Emitted. Absorbed Transmitted
Won Suk Daniel Lee Professor Agricultural and Biological Engineering University of Florida Non destructive sensing technologies Near infrared spectroscopy (NIRS) Time resolved reflectance spectroscopy
More informationJapanese Acceptance of Nuclear and Radiation Technologies after Fukushima Diichi Nuclear Disaster
Rev. Integr. Bus. Econ. Res. Vol 2(1) 503 Japanese Acceptance of Nuclear and Radiation Technologies after Fukushima Diichi Nuclear Disaster Hiroshi, Arikawa Department of Informatics, Nara Sangyo University
More informationpaper title : Analyzing the Components of Dark Circle by Nonlinear Estimation of Chromophore Concentrations and Shading
(1)First page classification of paper : Original Paper paper title : Analyzing the Components of Dark Circle by Nonlinear Estimation of Chromophore Concentrations and Shading author names : Rina Akaho,
More informationChapter 11 Lesson 4 THE EYE
Chapter 11 Lesson 4 THE EYE Eye Openers Museum of Vision You need a couple blank sheets of paper. Label each side #1 How We See #2 Binocular Vision #3 Optical Illusions #4 Persistence of Vision On Packet
More informationLow-energy Electron Diffractive Imaging for Three dimensional Light-element Materials
Low-energy Electron Diffractive Imaging for Three dimensional Light-element Materials Hitachi Review Vol. 61 (2012), No. 6 269 Osamu Kamimura, Ph. D. Takashi Dobashi OVERVIEW: Hitachi has been developing
More informationLight. Path of Light. Looking at things. Depth and Distance. Getting light to imager. CS559 Lecture 2 Lights, Cameras, Eyes
CS559 Lecture 2 Lights, Cameras, Eyes These are course notes (not used as slides) Written by Mike Gleicher, Sept. 2005 Adjusted after class stuff we didn t get to removed / mistakes fixed Light Electromagnetic
More informationChapter 2: The Beginnings of Perception
Chapter 2: The Beginnings of Perception We ll see the first three steps of the perceptual process for vision https:// 49.media.tumblr.co m/ 87423d97f3fbba8fa4 91f2f1bfbb6893/ tumblr_o1jdiqp4tc1 qabbyto1_500.gif
More informationSense Organs (Eye) The eye is the sense organ of sight. The eye is shaped like a ball and is located in bony
Sense Organs (Eye) The eye is the sense organ of sight. The eye is shaped like a ball and is located in bony sockets in the skull. It is held in place by six muscles which are joined to the outside of
More informationLight) Conditions. Lens Aperture Shutter Speed (sec.) NOTES. Light. Conditions. Lens Aperture Shutter Speed (sec.) None LBB-12** (or Wratten No.
AF3-074E COLOR NEGATIVE FILMS (ADVANCED PHOTO SYSTEM FILM) 1. FEATURES AND USES FUJICOLOR nexia 800 is an Advanced Photo System daylight color negative film with an ISO speed rating of 800. It adopts a
More informationBasler aca gm. Camera Specification. Measurement protocol using the EMVA Standard 1288 Document Number: BD Version: 01
Basler aca5-14gm Camera Specification Measurement protocol using the EMVA Standard 188 Document Number: BD563 Version: 1 For customers in the U.S.A. This equipment has been tested and found to comply with
More informationIdeal for display mura (nonuniformity) evaluation and inspection on smartphones and tablet PCs.
2D Color Analyzer 8 Ideal for display mura (nonuniformity) evaluation and inspection on smartphones and tablet PCs. Accurately and easily measures the distribution of luminance and chromaticity. Advanced
More informationWhy is blue tinted backlight better?
Why is blue tinted backlight better? L. Paget a,*, A. Scott b, R. Bräuer a, W. Kupper a, G. Scott b a Siemens Display Technologies, Marketing and Sales, Karlsruhe, Germany b Siemens Display Technologies,
More informationTopic 4: Lenses and Vision. Lens a curved transparent material through which light passes (transmit) Ex) glass, plastic
Topic 4: Lenses and Vision Lens a curved transparent material through which light passes (transmit) Ex) glass, plastic Double Concave Lenses Are thinner and flatter in the middle than around the edges.
More informationThresholding Technique for Document Images using a Digital Camera
I&T's 2 PIC Conference I&T's 2 PIC Conference Copyright 2, I&T Thresholding Technique for Document Images using a Digital Camera adao Takahashi Research and Development Group, Ricoh Co., Ltd. Yokohama,
More informationVisibility, Performance and Perception. Cooper Lighting
Visibility, Performance and Perception Kenneth Siderius BSc, MIES, LC, LG Cooper Lighting 1 Vision It has been found that the ability to recognize detail varies with respect to four physical factors: 1.Contrast
More information4. Cut away the fat and muscle.
1. Safety first! You ll be using a scalpel or a razor to cut the cow s eye. Be careful. A scalpel or razor can cut you as easily as it cuts the cow s eye. Whenever you handle raw meat (whether it s a cow
More informationEstimation of spectral response of a consumer grade digital still camera and its application for temperature measurement
Indian Journal of Pure & Applied Physics Vol. 47, October 2009, pp. 703-707 Estimation of spectral response of a consumer grade digital still camera and its application for temperature measurement Anagha
More informationInstruction Manual M82
M82 Do not mark on the model and other components with pen nor leave printed materials contacted on surface. Ink marks on the models cannot be removed. Instruction Manual Introduction Manufacturer s Note
More informationIII: Vision. Objectives:
III: Vision Objectives: Describe the characteristics of visible light, and explain the process by which the eye transforms light energy into neural. Describe how the eye and the brain process visual information.
More informationSCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to:
SCIENCE 8 WORKBOOK Chapter 6 Human Vision Ms. Jamieson 2018 This workbook belongs to: Eric Hamber Secondary 5025 Willow Street Vancouver, BC Table of Contents A. Chapter 6.1 Parts of the eye.. Parts of
More informationA Quantix monochrome camera with a Kodak KAF6303E CCD 2-D array was. characterized so that it could be used as a component of a multi-channel visible
A Joint Research Program of The National Gallery of Art, Washington The Museum of Modern Art, New York Rochester Institute of Technology Technical Report March, 2002 Characterization of a Roper Scientific
More informationSEEING. Seeing lecture 2 The retina and colour vision. Dr John S. Reid Department of Physics University of Aberdeen
SEEING Seeing lecture 2 The retina and colour vision Dr John S. Reid Department of Physics University of Aberdeen 1 The retina Forming an image on the back of the eye is the easy part. Seeing the image
More informationContents. 1. Supplementary figures Supplementary Table Supplementary Methods Supporting movie list...
Supplementary information to accompany: Simultaneous Observation of Kinesin-Driven Microtubule Motility and Binding of Adenosine Triphosphate Using Linear Zero-Mode Waveguides *Ryuji Yokokawa Department
More informationMitigation of Visual Fatigue through the Use of LED Desk Lights that Provide Uniform Brightness on Visual Work Surfaces
Cronicon OPEN ACCESS EC OPHTHALMOLOGY Research Article Mitigation of Visual Fatigue through the Use of LED Desk Lights that Provide Uniform Brightness on Visual Work Surfaces Tomoya Handa 1 *, Yo Iwata
More informationCapturing Light in man and machine
Capturing Light in man and machine CS194: Image Manipulation & Computational Photography Alexei Efros, UC Berkeley, Fall 2015 Etymology PHOTOGRAPHY light drawing / writing Image Formation Digital Camera
More information7 CHAPTER 7: REFRACTIVE INDEX MEASUREMENTS WITH COMMON PATH PHASE SENSITIVE FDOCT SETUP
7 CHAPTER 7: REFRACTIVE INDEX MEASUREMENTS WITH COMMON PATH PHASE SENSITIVE FDOCT SETUP Abstract: In this chapter we describe the use of a common path phase sensitive FDOCT set up. The phase measurements
More informationAutomatic optical measurement of high density fiber connector
Key Engineering Materials Online: 2014-08-11 ISSN: 1662-9795, Vol. 625, pp 305-309 doi:10.4028/www.scientific.net/kem.625.305 2015 Trans Tech Publications, Switzerland Automatic optical measurement of
More informationScience 8 Unit 2 Pack:
Science 8 Unit 2 Pack: Name Page 0 Section 4.1 : The Properties of Waves Pages By the end of section 4.1 you should be able to understand the following: Waves are disturbances that transmit energy from
More informationBettina Selig. Centre for Image Analysis. Swedish University of Agricultural Sciences Uppsala University
2011-10-26 Bettina Selig Centre for Image Analysis Swedish University of Agricultural Sciences Uppsala University 2 Electromagnetic Radiation Illumination - Reflection - Detection The Human Eye Digital
More informationMethod for Real Time Text Extraction of Digital Manga Comic
Method for Real Time Text Extraction of Digital Manga Comic Kohei Arai Information Science Department Saga University Saga, 840-0027, Japan Herman Tolle Software Engineering Department Brawijaya University
More informationEnhanced Method for Face Detection Based on Feature Color
Journal of Image and Graphics, Vol. 4, No. 1, June 2016 Enhanced Method for Face Detection Based on Feature Color Nobuaki Nakazawa1, Motohiro Kano2, and Toshikazu Matsui1 1 Graduate School of Science and
More informationChapter 6 Human Vision
Chapter 6 Notes: Human Vision Name: Block: Human Vision The Humane Eye: 8) 1) 2) 9) 10) 4) 5) 11) 12) 3) 13) 6) 7) Functions of the Eye: 1) Cornea a transparent tissue the iris and pupil; provides most
More informationDIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I
DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I 4 Topics to Cover Light and EM Spectrum Visual Perception Structure Of Human Eyes Image Formation on the Eye Brightness Adaptation and
More informationMasahiro Ueda, Sanae Mizuno, Akio Matsumura & Fijio Sakan
Real-time Optical Monitoring System for Dye Colour end Concentration Masahiro Ueda, Sanae Mizuno, Akio Matsumura & Fijio Sakan Faculty of Education, Fukui University, Bunkyo 3-9-1, Fukui 91, Japan ABSTRACT
More informationPrecise measurement of complex permittivity of materials for telecommunications devices
Paper Precise measurement of complex permittivity of materials for telecommunications devices Takayuki Nakamura and Yoshio Nikawa Abstract In order to obtain precise complex permittivity of the dielectric
More informationReading. 1. Visual perception. Outline. Forming an image. Optional: Glassner, Principles of Digital Image Synthesis, sections
Reading Optional: Glassner, Principles of Digital mage Synthesis, sections 1.1-1.6. 1. Visual perception Brian Wandell. Foundations of Vision. Sinauer Associates, Sunderland, MA, 1995. Research papers:
More informationCompensation of hologram distortion by controlling defocus component in reference beam wavefront for angle multiplexed holograms
J. Europ. Opt. Soc. Rap. Public. 8, 13080 (2013) www.jeos.org Compensation of hologram distortion by controlling defocus component in reference beam wavefront for angle multiplexed holograms T. Muroi muroi.t-hc@nhk.or.jp
More informationVisual System I Eye and Retina
Visual System I Eye and Retina Reading: BCP Chapter 9 www.webvision.edu The Visual System The visual system is the part of the NS which enables organisms to process visual details, as well as to perform
More informationOperating Manual. Model 721N. Visible Spectrophotometer
Operating Manual of Model 721N Visible Spectrophotometer 1 Table of Contents 1. Chief uses... 3 2. Working Conditions... 3 3. Main Specifications...3 4.Operating Principles...4 5. Optical design...4 6.
More informationLenses. Images. Difference between Real and Virtual Images
Linear Magnification (m) This is the factor by which the size of the object has been magnified by the lens in a direction which is perpendicular to the axis of the lens. Linear magnification can be calculated
More informationInterference metal/dielectric filters integrated on CMOS image sensors SEMICON Europa, 7-8 October 2014
Interference metal/dielectric filters integrated on CMOS image sensors SEMICON Europa, 7-8 October 2014 laurent.frey@cea.fr Outline Spectral filtering applications Consumer Multispectral Prior art Organic
More informationDevelopment of an Education System for Surface Mount Work of a Printed Circuit Board
Development of an Education System for Surface Mount Work of a Printed Circuit Board H. Ishii, T. Kobayashi, H. Fujino, Y. Nishimura, H. Shimoda, H. Yoshikawa Kyoto University Gokasho, Uji, Kyoto, 611-0011,
More informationSupporting Materials for. A Novel Color Modulation Analysis Strategy. through Tunable Multiband Laser for. Nanoparticle Identification and Evaluation
Supporting Materials for A Novel Color Modulation Analysis Strategy through Tunable Multiband Laser for Nanoparticle Identification and Evaluation Xuan Cao,, Gang Lei, Jingjing Feng, Qi Pan, Xiaodong Wen,
More informationIdeal for display mura (nonuniformity) evaluation and inspection on smartphones and tablet PCs.
2D Color Analyzer Ideal for display mura (nonuniformity) evaluation and inspection on smartphones and tablet PCs. Accurately and easily measures the distribution of luminance and chromaticity. The included
More informationA CMOS Visual Sensing System for Welding Control and Information Acquirement in SMAW Process
Available online at www.sciencedirect.com Physics Procedia 25 (2012 ) 22 29 2012 International Conference on Solid State Devices and Materials Science A CMOS Visual Sensing System for Welding Control and
More informationSeeing and Perception. External features of the Eye
Seeing and Perception Deceives the Eye This is Madness D R Campbell School of Computing University of Paisley 1 External features of the Eye The circular opening of the iris muscles forms the pupil, which
More informationColumn-Parallel Architecture for Line-of-Sight Detection Image Sensor Based on Centroid Calculation
ITE Trans. on MTA Vol. 2, No. 2, pp. 161-166 (2014) Copyright 2014 by ITE Transactions on Media Technology and Applications (MTA) Column-Parallel Architecture for Line-of-Sight Detection Image Sensor Based
More informationSpeed Traffic-Sign Recognition Algorithm for Real-Time Driving Assistant System
R3-11 SASIMI 2013 Proceedings Speed Traffic-Sign Recognition Algorithm for Real-Time Driving Assistant System Masaharu Yamamoto 1), Anh-Tuan Hoang 2), Mutsumi Omori 2), Tetsushi Koide 1) 2). 1) Graduate
More informationBasler aca km. Camera Specification. Measurement protocol using the EMVA Standard 1288 Document Number: BD Version: 03
Basler aca-18km Camera Specification Measurement protocol using the EMVA Standard 188 Document Number: BD59 Version: 3 For customers in the U.S.A. This equipment has been tested and found to comply with
More informationIntroduction. Chapter Aim of the Thesis
Chapter 1 Introduction 1.1 Aim of the Thesis The main aim of this investigation was to develop a new instrument for measurement of light reflected from the retina in a living human eye. At the start of
More informationEye Examination Simulator. Instruction Manual
Eye Examination Simulator Instruction Manual Index Features Before Use Dimensions, Material and Contents Operation Setting of the cases Changing the diameter of the pupil After use Caution Features Eye
More informationUSB. Part No Wavelength range. Spectral bandwidth 5 nm 4 nm Optical system
Visible range spectrophotometers V-1100 and VR-2000 V-1100 MODEL WITH MANUAL WAVELENGTH SETTINGS AND AUTOMATIC BLANK. VR-2000 MODEL WITH AUTOMATIC WAVELENGTH SETTINGS AND BLANK. V-1100 Part no. 4120025
More informationINTRODUCTION TO CCD IMAGING
ASTR 1030 Astronomy Lab 85 Intro to CCD Imaging INTRODUCTION TO CCD IMAGING SYNOPSIS: In this lab we will learn about some of the advantages of CCD cameras for use in astronomy and how to process an image.
More information