Image Processing. The Module. Lab Sessions and Courseworks. Prerequisites. Reference Book. Text Book Image Processing
|
|
- Laurence Holt
- 5 years ago
- Views:
Transcription
1 Processing Pengwei Hao Topic 1: Introduction ECS605U / ECS776P School of EECS Queen Mary University of London The Module Lectures: Mondays, 9-11am, ArtsOne 1.28 Pengwei Hao (p.hao@qmul.ac.uk) Lab sessions: Wednesday, 11am-1pm, ITL 2F, no lab in week 1. Mr Zhaoyang Xu, acw267, zhaoyang.xu@qmul.ac.uk Miss Xindi Zhang, eex291, xindi.zhang@qmul.ac.uk Miss Bingqing Guo, acw355, b.guo@qmul.ac.uk Lab Sessions and Courseworks Labs are compulsory Week 2: Lab1, complete GUI with template code Week 3-9: Lab2-8 programming for image processing Week 10: coursework completion The deadline to complete the coursework is the end of Week 10. Week 11&12: coursework assessment (assessed during the last 2 lab sessions.) Prerequisites Java programming experience Mathematical background: calculus, complex arithmetic, statistics, linear algebra Basic understanding of signal processing: function, signal and spectrum Text Book Processing Digital Processing Global Edition, 4th Edition by Rafael C. Gonzalez, and Richard E. Woods 1024 pages, Pearson, 2017 ISBN13: ISBN10: Reference Book Digital Processing using MATLAB by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins 827 pages, Gatesmark Publishing 2nd edition (2009) ISBN-10: , ISBN-13:
2 Reference Journals IEEE Trans. Processing IEEE Trans. Signal Processing IEEE Trans. Medical Imaging Computer Vision and Understanding (CVIU) Graphical Modeling and Processing Computer Vision, Graphics and Processing (CVGIP) Reference Proceedings British Machine Vision Conference (BMVC) International Conference on Processing (ICIP) IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) IEEE International Conference on Computer Vision (ICCV) Websites the module The course: Lecture notes : Labs: Coursework: Past exam papers: available on QM+ Text book: Assessment Coursework 20% Assessed during the last 2 lab sessions Examination (2h30m) 80% Processing Processing : Process images by means of digital computers : photograph/picture scanned/produced Digital image : An electronic photograph made up of a set of picture elements, "pixels" Each pixel is at a spatial position and has a tonal value (intensity, gray level) represented digitally in binary code (zeros and ones). First The oldest surviving camera photograph, by Nicéphore Niépce, 1826 or 1827, requires an exposure of at least 8 hours. 2
3 First of Person First photograph including a person, by Daguerre, 1838 First Colour James Clerk Maxwell presents the first durable colour photograph in 1861, uses three separate BW photographs taken with red, green, and violet-blue filters. First Colour Print A 1877 photographic colour print on paper by Louis Ducos du Hauron, superimposing cyan, red and yellow components. First Moving Pictures Muybridge used high-speed photography to make the first animated image sequences photographed in realtime ( ) First Easy-to-Use Camera 1888 The Kodak n 1 box camera, the first easy-to-use camera First Digital Used in newspaper industry Sent between London and New York Bartlane cable picture transmission system was introduced in a week => 3 hours Reproduced on a telegraph printer with typefaces to simulate a halftone pattern 3
4 Photographic Reproduction Better tonal quality (5 gray levels) Higher resolution Photographic Reproduction Better tonal quality (15 gray levels) Higher resolution First Scanned The first picture scanned, stored, and recreated in digital pixels by the SEAC scanner in SEAC: Standards Eastern Automatic Computer. Computers Involved in Creation From early 1960s US space missions First Pixel Array 1967 First MOS 10 by 10 active pixel array shown by Noble 4
5 First Colour Filter Array 1975 Bryce Bayer of Kodak develops the Bayer filter mosaic pattern for CCD colour image sensors. Medical Imaging From late 1960s and early 1970s Computerized tomography (CT) Using X-rays Bone scan Gamma-Ray Imaging Positron emission tomography (PET) Cygnus Loop Gamma radiation from a reactor valve Chest X-ray Aortic angiogram Head CT Circuit boards Cygnus Loop X-Ray Imaging Ultraviolet Band Imaging Normal corn Smut corn Cygnus Loop Light Microscopy s Anticancer agent, 250X Cholesterol, 40X Microprocessor, 60X Nickel oxide thin film, 600X Audio CD surface, 1750X Organic superconductor, 450X 5
6 Landsat Satellite 7 Bands: 1. Visible blue, 2. visible green, 3. visible red, 4. near infrared, 5. middle infrared, 6. thermal infrared, 7. middle infrared Meteorological Satellite Visible + Infrared Multispectral - Hyperspectral image - 80 bands (highly correlated) - 512x346 - Road, water, rice paddy Manufactural s Circuit board controller Packaged pills Bottles Bubbles in product Cereal Intraocular implant s in Visual Spectrum Spaceborne Radar images Fingerprint Paper money Automated license number reading 6
7 Radio Band Imaging (MRI) Electromagnetic Spectrum Magnetic Resonance Imaging Electromagnetic Spectrum Ultrasound Imaging Crab Pulsar Scanning Electron Microscope Hair with dandruff Holography 1947 Dennis Gabor invents holography 7
8 Commercial Digital Camera Kodak DC40 and the Apple QuickTake 100 become the first digital cameras marketed for consumers. 3D Camera 2009 FujiFilm launches world's first digital 3D camera with 3D printing capabilities Light-Field Camera Computer Generated s 2011 Lytro releases the first pocket-sized consumer light-field camera, capable of refocusing images after being taken. Computer Generated s Processing System Cloud Network displays Computer Mass storage Hardcopy Specialized image processing hardware processing software sensors Problem domain 8
9 Outputs of these processes generally are image attributes Digital Processing What You Will Learn Outputs of these processes generally are images CHA PTER 6 CHA PTER 7 CHA PTER 8 CHA PTER 9 Wavelets and Color image Compression and Morphological other multiresolution image processing watermarking processing transforms processing CHA PTER 5 CHA PTERS 10 & 11 Segmentation restoration CHA PTERS 3 & 4 CHA PTER 12 Knowledge base Feature filtering and extraction enhancement Level (brightness) operations Algebraic and logical operations Geometric transformations Filtering (both spatial and frequency-based) Sampling Restoration/Reconstruction Compression Problem domain CHA PTER 2 acquisition CHA PTER 13 pattern classification Applications Multimedia (just look at the web) Editing and Manipulation (Photoshop) Medical Imaging (CT, MRI) Compression (PNG, JPEG) Document Processing (OCR) Libraries (restoration/cleanup, storage, retrieval) Many More Relation to Other Fields Processing: Transform an image into another image, often to make the image better to give information Computer Vision: Find the model of an image Computer Graphics: Create an image of a model Processing Computer Vision Computer Graphics Model 9
Introduction. Stefano Ferrari. Università degli Studi di Milano Methods for Image Processing. academic year
Introduction Stefano Ferrari Università degli Studi di Milano stefano.ferrari@unimi.it Methods for Image Processing academic year 2015 2016 Image processing Computer science concerns the representation,
More informationDigital Image Processing. Lecture 1 (Introduction) Bu-Ali Sina University Computer Engineering Dep. Fall 2011
Digital Processing Lecture 1 (Introduction) Bu-Ali Sina University Computer Engineering Dep. Fall 2011 Introduction One picture is worth more than ten thousand p words Outline Syllabus References Course
More informationDigital Image Processing
What is an image? Digital Image Processing Picture, Photograph Visual data Usually two- or three-dimensional What is a digital image? An image which is discretized, i.e., defined on a discrete grid (ex.
More informationLecture # 01. Introduction
Digital Image Processing Lecture # 01 Introduction Autumn 2012 Agenda Why image processing? Image processing examples Course plan History of imaging Fundamentals of image processing Components of image
More informationIntroduction
Introduction Lecturer: Dr. Hossam Hassan Email : hossameldin.hassan@eng.asu.edu.eg Computers and Systems Engineering Essential Books 1. Digital Image Processing Rafael Gonzalez and Richard Woods, Third
More informationELE 882: Introduction to Digital Image Processing (DIP)
ELE882 Introduction to Digital Image Processing Course Instructor: Prof. Ling Guan Department of Electrical & Computer Engineering Room 315, ENG Building Tel: (416)979-5000 ext 6072 Email: lguan@ee.ryerson.ca
More informationDigital Image Processing
Digital Processing Introduction Christophoros Nikou cnikou@cs.uoi.gr s taken from: R. Gonzalez and R. Woods. Digital Processing, Prentice Hall, 2008. Digital Processing course by Brian Mac Namee, Dublin
More informationBackground. Computer Vision & Digital Image Processing. Improved Bartlane transmitted image. Example Bartlane transmitted image
Background Computer Vision & Digital Image Processing Introduction to Digital Image Processing Interest comes from two primary backgrounds Improvement of pictorial information for human perception How
More informationCourse Outline 8/27/2009. SGN-3016 Digital Image Processing (5 cr)
SGN-3016 Digital Image Processing (5 cr) Lecturer: Moncef Gabbouj Lectures: Period I, Room TB 110, Mondays 14.00-16.00 Periods II, Room TB 219, Mondays 14:00 16.00 Exercises and Assistants: Dr. Esin Guldogan
More informationCSE 166: Image Processing. Overview. What is an image? Representing an image. What is image processing? History. Today
CSE 166: Image Processing Overview Image Processing CSE 166 Today Course overview Logistics Some mathematics Lectures will be boardwork and slides CSE 166, Fall 2016 2 What is an image? Representing an
More informationTDI2131 Digital Image Processing
TDI2131 Digital Image Processing Introduction to Image Processing Lecture 1 John See Faculty of Information Technology Multimedia University Some portions of content adapted from Zhu Liu, AT&T Labs 1 Lecture
More informationDigital Image Processing and Machine Vision Fundamentals
Digital Image Processing and Machine Vision Fundamentals By Dr. Rajeev Srivastava Associate Professor Dept. of Computer Sc. & Engineering, IIT(BHU), Varanasi Overview In early days of computing, data was
More information15/12/2017. What is digital image processing? What is digital image processing? History of digital images. History of digital images
What is digital image processing? Image: a two-dimensional function f(x,y), where x and y are spatial coordinates and the amplitude f at any pair of coordinates (x,y) is called the intensity or gray level.
More informationDigitization and fundamental techniques
Digitization and fundamental techniques Chapter 2.2-2.6 Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University Outline Imaging Digitization Sampling Labeling
More informationLecture 1 Introduction. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016
Lecture 1 Introduction Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016 Self Introduction B.Sc., Computer Science and Engineering, Shanghai JiaoTong University, 2003 M.Sc., Computer
More informationDigital Image Processing COSC 6380/4393
Digital Image Processing COSC 6380/4393 Lecture 1 Aug 21 st, 2018 Slides from Dr. Shishir K Shah and Frank (Qingzhong) Liu Digital Image Processing COSC 6380/4393 Instructor Pranav Mantini Email: pmantini@uh.edu
More informationChapters to be Covered
SGN-3016 Digital Image Processing (5 cr) Lecturer: Moncef Gabbouj Lectures: Term 1 (Periods I and II), Room TB 223, Fridays12:15 14.00 Exercises and Assistants: Dr. Esin Guldogan (Office TX xxx) Group
More informationAPPLICATIONS AND USAGE
APPLICATIONS AND USAGE http://www.tutorialspoint.com/dip/applications_and_usage.htm Copyright tutorialspoint.com Since digital image processing has very wide applications and almost all of the technical
More informationME 6406 MACHINE VISION. Georgia Institute of Technology
ME 6406 MACHINE VISION Georgia Institute of Technology Class Information Instructor Professor Kok-Meng Lee MARC 474 Office hours: Tues/Thurs 1:00-2:00 pm kokmeng.lee@me.gatech.edu (404)-894-7402 Class
More informationCourse Objectives & Structure
Course Objectives & Structure Digital imaging is at the heart of science, medicine, entertainment, engineering, and communications. This course provides an introduction to mathematical tools for the analysis
More informationDigital Photogrammetry. Presented by: Dr. Hamid Ebadi
Digital Photogrammetry Presented by: Dr. Hamid Ebadi Background First Generation Analog Photogrammetry Analytical Photogrammetry Digital Photogrammetry Photogrammetric Generations 2000 digital photogrammetry
More informationCSCE 763: Digital Image Processing
CSCE 763: Digital Image Processing Spring 2018 Yan Tong Department of Computer Science and Engineering University of South Carolina Today s Agenda Welcome Tentative Syllabus Topics covered in the course
More informationSECTION I - CHAPTER 2 DIGITAL IMAGING PROCESSING CONCEPTS
RADT 3463 - COMPUTERIZED IMAGING Section I: Chapter 2 RADT 3463 Computerized Imaging 1 SECTION I - CHAPTER 2 DIGITAL IMAGING PROCESSING CONCEPTS RADT 3463 COMPUTERIZED IMAGING Section I: Chapter 2 RADT
More informationIMAGE PROCESSING PAPER PRESENTATION ON IMAGE PROCESSING
IMAGE PROCESSING PAPER PRESENTATION ON IMAGE PROCESSING PRESENTED BY S PRADEEP K SUNIL KUMAR III BTECH-II SEM, III BTECH-II SEM, C.S.E. C.S.E. pradeep585singana@gmail.com sunilkumar5b9@gmail.com CONTACT:
More informationDigital Image Processing Introduction
Digital Processing Introduction Dr. Hatem Elaydi Electrical Engineering Department Islamic University of Gaza Fall 2015 Sep. 7, 2015 Digital Processing manipulation data might experience none-ideal acquisition,
More informationCS 376b Computer Vision
CS 376b Computer Vision 09 / 03 / 2014 Instructor: Michael Eckmann Today s Topics This is technically a lab/discussion session, but I'll treat it as a lecture today. Introduction to the course layout,
More informationdr hab. Michał Strzelecki tel , room 216 cons. hours: Wednesday 14-15, Thursday P. Strumillo, M.
dr hab. Michał Strzelecki tel. 6312631, room 216 cons. hours: Wednesday 14-15, Thursday 13-14 (mstrzel@p.lodz.pl) P. Strumillo, M. Strzelecki One picture is worth more than ten thousand words Anonymous
More informationDigital Image Processing CS-340. Lecture 1 Introduction
Digital Image Processing CS-340 Lecture 1 Introduction Books Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Third Edition, Pearson- Prentice Hall, Inc., 2008. Gonzalez, R. C., Woods, R. E.,
More informationCOURSE ECE-411 IMAGE PROCESSING. Er. DEEPAK SHARMA Asstt. Prof., ECE department. MMEC, MM University, Mullana.
COURSE ECE-411 IMAGE PROCESSING Er. DEEPAK SHARMA Asstt. Prof., ECE department. MMEC, MM University, Mullana. Why Image Processing? For Human Perception To make images more beautiful or understandable
More informationImage Processing. COMP 3072 / GV12 Gabriel Brostow. TA: Josias P. Elisee (with help from Dr Wole Oyekoya) Image Processing.
Image Processing COMP 3072 / GV12 Gabriel Brostow TA: Josias P. Elisee (with help from Dr Wole Oyekoya) 1 2 Motivation and Goals Grounding in image processing techniques Concentrate on algorithms used
More informationIntroduction to Computer Vision and image processing
Introduction to Computer Vision and image processing 1.1 Overview: Computer Imaging 1.2 Computer Vision 1.3 Image Processing 1.4 Computer Imaging System 1.6 Human Visual Perception 1.7 Image Representation
More informationColor Image Processing
Color Image Processing Jesus J. Caban Outline Discuss Assignment #1 Project Proposal Color Perception & Analysis 1 Discuss Assignment #1 Project Proposal Due next Monday, Oct 4th Project proposal Submit
More informationSUPER RESOLUTION INTRODUCTION
SUPER RESOLUTION Jnanavardhini - Online MultiDisciplinary Research Journal Ms. Amalorpavam.G Assistant Professor, Department of Computer Sciences, Sambhram Academy of Management. Studies, Bangalore Abstract:-
More informationCPSC 4040/6040 Computer Graphics Images. Joshua Levine
CPSC 4040/6040 Computer Graphics Images Joshua Levine levinej@clemson.edu Lecture 04 Displays and Optics Sept. 1, 2015 Slide Credits: Kenny A. Hunt Don House Torsten Möller Hanspeter Pfister Agenda Open
More informationIntroduction. Lighting
&855(17 )8785(75(1'6,10$&+,1(9,6,21 5HVHDUFK6FLHQWLVW0DWV&DUOLQ 2SWLFDO0HDVXUHPHQW6\VWHPVDQG'DWD$QDO\VLV 6,17()(OHFWURQLFV &\EHUQHWLFV %R[%OLQGHUQ2VOR125:$< (PDLO0DWV&DUOLQ#HF\VLQWHIQR http://www.sintef.no/ecy/7210/
More informationremote sensing? What are the remote sensing principles behind these Definition
Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared
More informationOn the WEB. Digital Image Processing ECE 178. B. S. MANJUNATH RM 3157 ENGR I Tel:
Digital Image Processing ECE 178 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu Introduction 1 On the WEB For course information: http://www.ece.ucsb.edu/~manj/ece178
More informationIntroduction to image processing
Part I Introduction to image processing 1 Introduction Overview Imaging systems construct an (output) image in response to (input) signals from diverse types of objects. They can be classified in a number
More informationDICOM Conformance. DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity
DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity Authored by Global Engineering Team, Health Gorilla April 10, 2014 Table of Contents About Health Gorilla s Online Healthcare
More informationComputer Assisted Image Analysis 1 GW 1, Filip Malmberg Centre for Image Analysis Deptartment of Information Technology Uppsala University
Computer Assisted Image Analysis 1 GW 1, 2.1-2.4 Filip Malmberg Centre for Image Analysis Deptartment of Information Technology Uppsala University 2 Course Overview 9+1 lectures (Filip, Damian) 5 computer
More informationMedical Images Analysis and Processing
Medical Images Analysis and Processing - 25642 Emad Course Introduction Course Information: Type: Graduated Credits: 3 Prerequisites: Digital Image Processing Course Introduction Reference(s): Insight
More informationImage Analysis Using R
Image Analysis Using R Chris Campbell LondonR - 13th July 2010 Steps to image analysis Image capture Clean image/reduce noise Extract information Analyze information Image Capture Light Photography Light
More information(Volume3, Issue2) Mahesh R Pujar ABSTRACT
(Volume3, Issue2) Available online at www.ijarnd.com Mahesh R Pujar B. V. B. College of Engineering and Technology, Hubballi, Karnataka ABSTRACT Indian is a developing country, Production, and printing
More informationUniversity Of Lübeck ISNM Presented by: Omar A. Hanoun
University Of Lübeck ISNM 12.11.2003 Presented by: Omar A. Hanoun What Is CCD? Image Sensor: solid-state device used in digital cameras to capture and store an image. Photosites: photosensitive diodes
More informationNatalia Vassilieva HP Labs Russia
Content Based Image Retrieval Natalia Vassilieva nvassilieva@hp.com HP Labs Russia 2008 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice Tutorial
More informationRemote Sensing for Fire Management. FOR 435: Remote Sensing for Fire Management
Remote Sensing for Fire Management FOR 435: Remote Sensing for Fire Management 2. Remote Sensing Primer Primer A very Brief History Modern Applications As a young man, my fondest dream was to become a
More informationPrinciples of Photogrammetry
Winter 2014 1 Instructor: Contact Information. Office: Room # ENE 229C. Tel: (403) 220-7105. E-mail: ahabib@ucalgary.ca Lectures (SB 148): Monday, Wednesday& Friday (10:00 a.m. 10:50 a.m.). Office Hours:
More informationPractical Image and Video Processing Using MATLAB
Practical Image and Video Processing Using MATLAB Chapter 1 Introduction and overview What will we learn? What is image processing? What are the main applications of image processing? What is an image?
More informationMegapixels and more. The basics of image processing in digital cameras. Construction of a digital camera
Megapixels and more The basics of image processing in digital cameras Photography is a technique of preserving pictures with the help of light. The first durable photograph was made by Nicephor Niepce
More informationImage Processing. Gabriel Brostow & Simon Prince. GV12/3072 Image Processing.
Image Processing Gabriel Brostow & Simon Prince GV12/3072 Image Processing. 1 GV12/3072 Image Processing. 2 Motivation and Goals Grounding in image processing techniques Concentrate on algorithms used
More informationImage Processing - Intro. Tamás Szirányi
Image Processing - Intro Tamás Szirányi The path of light through optics A Brief History of Images 1558 Camera Obscura, Gemma Frisius, 1558 A Brief History of Images 1558 1568 Lens Based Camera Obscura,
More informationSRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN
SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code : CS0323 Course Title : Digital Image Processing Semester : V Course Time : July Dec 2011
More informationIntroduction. Ioannis Rekleitis
Introduction Ioannis Rekleitis Why Image Processing? Who here has a camera? How many cameras do you have Point where computers fast/cheap Cameras become omnipresent Deep Learning CSCE 590: Introduction
More informationInternational Journal of Computer Engineering and Applications, TYPES OF NOISE IN DIGITAL IMAGE PROCESSING
International Journal of Computer Engineering and Applications, Volume XI, Issue IX, September 17, www.ijcea.com ISSN 2321-3469 TYPES OF NOISE IN DIGITAL IMAGE PROCESSING 1 RANU GORAI, 2 PROF. AMIT BHATTCHARJEE
More informationDigital Image Processing ECE 178 Winter 2003
Digital Image Processing ECE 178 Winter 2003 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu/manjunath 1/07/2003 W03/Lecture 1 On the WEB For course information
More informationDigital Image Processing ECE 178 Winter On the WEB. Class list/discussion sessions. Today: Jan About this course.
Digital Image Processing ECE 178 Winter 2003 On the WEB For course information and slides and more: http://varuna.ece.ucsb.edu/ece178 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu/manjunath
More informationANALYSIS OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB
ANALYSIS OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB Abstract Ms. Jyoti kumari Asst. Professor, Department of Computer Science, Acharya Institute of Graduate Studies, jyothikumari@acharya.ac.in This study
More informationDigital Image Processing - A Remote Sensing Perspective
ISSN 2278 0211 (Online) Digital Image Processing - A Remote Sensing Perspective D.Sarala Department of Physics & Electronics St. Ann s College for Women, Mehdipatnam, Hyderabad, India Sunita Jacob Head,
More informationEnhancing the " Dynamic Range " of Scanned Images
247 Enhancing the " Dynamic Range " of Scanned Images Ibrahim Esmat Wali, Printing, Publishing & Packaging Department, Faculty of Applied Art, Helwan University Abstract: When digitizing images to computer
More informationWhere Vision and Silicon Meet
History and Future of Electronic Color Photography: Where Vision and Silicon Meet Richard F. Lyon Chief Scientist Foveon, Inc. UC Berkeley Photography class of Prof. Brian Barksy February 20, 2004 Color
More informationECC419 IMAGE PROCESSING
ECC419 IMAGE PROCESSING INTRODUCTION Image Processing Image processing is a subclass of signal processing concerned specifically with pictures. Digital Image Processing, process digital images by means
More informationHistory and Future of Electronic Color Photography: Where Vision and Silicon Meet
History and Future of Electronic Color Photography: Where Vision and Silicon Meet Richard F. Lyon Chief Scientist Foveon, Inc. UC Berkeley Photography class of Prof. Brian Barksy February 20, 2004 Color
More informationColor & Compression. Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University
Color & Compression Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University Outline Color Color spaces Multispectral images Pseudocoloring Color image processing
More informationSegmentation of Liver CT Images
Segmentation of Liver CT Images M.A.Alagdar 1, M.E.Morsy 2, M.M.Elzalabany 3 1,2,3 Electronics And Communications Department-.Faculty Of Engineering Mansoura University, Egypt. Abstract In this paper we
More informationUNIT 2 Medical Technology: Imaging Unit Overview I. Introduction
UNIT 2 Medical Technology: Imaging Unit Overview I. Introduction Technology has drastically changed the medical profession, and as a result, everyday life. The phrase "medical technology" frequently evokes
More informationAn Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG
An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor
More informationElectromagnetic Waves & the Electromagnetic Spectrum
Electromagnetic Waves & the Electromagnetic Spectrum longest wavelength shortest wavelength The Electromagnetic Spectrum The name given to a group of energy waves that are mostly invisible and can travel
More informationAlternate Light Source Imaging
Alternate Light Source Imaging This page intentionally left blank Alternate Light Source Imaging Forensic Photography Techniques Norman Marin Jeffrey Buszka Series Editor Larry S. Miller First published
More informationIntroduction to Computer Vision
Introduction to Computer Vision CS / ECE 181B Thursday, April 1, 2004 Course Details HW #0 and HW #1 are available. Course web site http://www.ece.ucsb.edu/~manj/cs181b Syllabus, schedule, lecture notes,
More informationTeaching Scheme. Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total
Code ITC7051 Name Processing Teaching Scheme Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total Practical 04 02 -- 04 01 -- 05 Code ITC704 Name Wireless Technology Examination
More informationISO INTERNATIONAL STANDARD. Photography Electronic scanners for photographic images Dynamic range measurements
INTERNATIONAL STANDARD ISO 21550 First edition 2004-10-01 Photography Electronic scanners for photographic images Dynamic range measurements Photographie Scanners électroniques pour images photographiques
More informationChapters 1-3. Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation. Chapter 3: Basic optics
Chapters 1-3 Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation Radiation sources Classification of remote sensing systems (passive & active) Electromagnetic
More informationA Novel Approach of Compressing Images and Assessment on Quality with Scaling Factor
A Novel Approach of Compressing Images and Assessment on Quality with Scaling Factor Umesh 1,Mr. Suraj Rana 2 1 M.Tech Student, 2 Associate Professor (ECE) Department of Electronic and Communication Engineering
More informationEC-433 Digital Image Processing
EC-433 Digital Image Processing Lecture 2 Digital Image Fundamentals Dr. Arslan Shaukat 1 Fundamental Steps in DIP Image Acquisition An image is captured by a sensor (such as a monochrome or color TV camera)
More informationIntroduction to Photography
Topic 11 - Bits & Bytes Learning Outcomes You will have a much better understanding of the basic units of digital photography. Bits & Bytes A Bit is the basic unit on a computer, which can be 0/1, off/
More informationTDI2131 Digital Image Processing
TDI2131 Digital Image Processing Image Enhancement in Spatial Domain Lecture 3 John See Faculty of Information Technology Multimedia University Some portions of content adapted from Zhu Liu, AT&T Labs.
More informationTHE EFFECT OF IMPLEMENTING OF NONLINEAR FILTERS FOR ENHANCING MEDICAL IMAGES USING MATLAB
THE EFFECT OF IMPLEMENTING OF NONLINEAR FILTERS FOR ENHANCING MEDICAL IMAGES USING MATLAB Mohamed Y. Adam 1, Dr Mozamel M. Saeed 2, Prof. Dr Al Samani A. Ahmed 3 1 king Saud University, TrainingandCommunity
More informationAutomatic Morphological Segmentation and Region Growing Method of Diagnosing Medical Images
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 2, Number 3 (2012), pp. 173-180 International Research Publications House http://www. irphouse.com Automatic Morphological
More informationGeo/SAT 2 INTRODUCTION TO REMOTE SENSING
Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Paul R. Baumann, Professor Emeritus State University of New York College at Oneonta Oneonta, New York 13820 USA COPYRIGHT 2008 Paul R. Baumann Introduction Remote
More informationDigital images. Digital Image Processing Fundamentals. Digital images. Varieties of digital images. Dr. Edmund Lam. ELEC4245: Digital Image Processing
Digital images Digital Image Processing Fundamentals Dr Edmund Lam Department of Electrical and Electronic Engineering The University of Hong Kong (a) Natural image (b) Document image ELEC4245: Digital
More informationDigital Image Fundamentals and Image Enhancement in the Spatial Domain
Digital Image Fundamentals and Image Enhancement in the Spatial Domain Mohamed N. Ahmed, Ph.D. Introduction An image may be defined as 2D function f(x,y), where x and y are spatial coordinates. The amplitude
More informationA Methodology to Create a Fingerprint for RGB Color Image
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 6.017 IJCSMC,
More informationLecture 1 Introduction to Computer Vision. Lin ZHANG, PhD School of Software Engineering, Tongji University Spring 2018
Lecture 1 Introduction to Computer Vision Lin ZHANG, PhD School of Software Engineering, Tongji University Spring 2018 Course Info Contact Information Room 408L, Jishi Building Email: cslinzhang@tongji.edu.cn
More informationMachine Vision: Image Formation
Machine Vision: Image Formation MediaRobotics Lab, Feb 2010 References: Forsyth / Ponce: Computer Vision Horn: Robot Vision Kodak CCD Primer, #KCP-001 Adaptive Fuzzy Color Interpolation, Journal of Electronic
More informationFACULTY OF ENGINEERING AND TECHNOLOGY
FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code : CS0323 (Elective) Course Title : DIGITAL IMAGE PROCESSING Semester : V Course Time : JULY 2014 DEC
More informationMODULE No. 34: Digital Photography and Enhancement
SUBJECT Paper No. and Title Module No. and Title Module Tag PAPER No. 8: Questioned Document FSC_P8_M34 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Cameras and Scanners 4. Image Enhancement
More informationCS559: Computer Graphics. Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008
CS559: Computer Graphics Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008 Today Eyes Cameras Light Why can we see? Visible Light and Beyond Infrared, e.g. radio wave longer wavelength
More informationImages and Graphics. 4. Images and Graphics - Copyright Denis Hamelin - Ryerson University
Images and Graphics Images and Graphics Graphics and images are non-textual information that can be displayed and printed. Graphics (vector graphics) are an assemblage of lines, curves or circles with
More informationStarting a Digitization Project: Basic Requirements
Starting a Digitization Project: Basic Requirements Item Type Book Authors Deka, Dipen Citation Starting a Digitization Project: Basic Requirements 2008-11, Publisher Assam College Librarians' Association
More information746A27 Remote Sensing and GIS
746A27 Remote Sensing and GIS Lecture 1 Concepts of remote sensing and Basic principle of Photogrammetry Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University What
More informationImage Enhancement using Histogram Equalization and Spatial Filtering
Image Enhancement using Histogram Equalization and Spatial Filtering Fari Muhammad Abubakar 1 1 Department of Electronics Engineering Tianjin University of Technology and Education (TUTE) Tianjin, P.R.
More informationCS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett
CS 262 Lecture 01: Digital Images and Video John Magee Some material copyright Jones and Bartlett 1 Overview/Questions What is digital information? What is color? How do pictures get encoded into binary
More informationAerial photography and Remote Sensing. Bikini Atoll, 2013 (60 years after nuclear bomb testing)
Aerial photography and Remote Sensing Bikini Atoll, 2013 (60 years after nuclear bomb testing) Computers have linked mapping techniques under the umbrella term : Geomatics includes all the following spatial
More informationbrief history of photography foveon X3 imager technology description
brief history of photography foveon X3 imager technology description imaging technology 30,000 BC chauvet-pont-d arc pinhole camera principle first described by Aristotle fourth century B.C. oldest known
More informationECU 3040 Digital Image Processing
ECU 3040 Digital Image Processing Dr. Praveen Sankaran Department of ECE NIT Calicut January 8, 2015 Ground Rules Grading Policy: Projects 20 Exam 1 15 Exam 2 15 Exam 3 50 Letter Grading:Absolute Textbook:
More informationClassification in Image processing: A Survey
Classification in Image processing: A Survey Rashmi R V, Sheela Sridhar Department of computer science and Engineering, B.N.M.I.T, Bangalore-560070 Department of computer science and Engineering, B.N.M.I.T,
More informationIntroduction to Remote Sensing of the Environment. Dr. Anne Nolin Department of Geosciences
Introduction to Remote Sensing of the Environment Dr. Anne Nolin Department of Geosciences Overview of today s lecture Course overview Definitions How measurements are made Analog vs. digital The remote
More informationNew applications of Spectral Edge image fusion
New applications of Spectral Edge image fusion Alex E. Hayes a,b, Roberto Montagna b, and Graham D. Finlayson a,b a Spectral Edge Ltd, Cambridge, UK. b University of East Anglia, Norwich, UK. ABSTRACT
More informationKeywords: Image segmentation, pixels, threshold, histograms, MATLAB
Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Analysis of Various
More informationExercise questions for Machine vision
Exercise questions for Machine vision This is a collection of exercise questions. These questions are all examination alike which means that similar questions may appear at the written exam. I ve divided
More information