Iqra UniversityASIAN MANAGEMENT INSTITUTE

Advanced Digital Image Processing

Course Code:Prerequisite: knowledge of Computer Graphics and Programming

WELCOME TO THE CLASS

I ntroduction:

C ourse D escription: This is an introductory course on image processing and analysis dealing with Mathematical Representation of Images, Image Sampling and Quantization, Image Transforms: Fourier, Karhunen-Loeve, etc., Image Enhancement: Statistical Techniques and Ad-Hoc Techniques, Image Restoration: Inverse Filtering, Statistical and Algebraic Approaches, Image Coding, Edge Detection, and Texture Analysis.

C ourse O bjective: Visual information plays an important role in almost all areas of our life. Today, much of this information represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.

T eaching M ethodology & R equirements: Please arrive and leave on time. Class will begin promptly five minutes after the hour and will end exactly on the time. Late arrivals and early departures disrupt class and ruin the presentations of others. They are unprofessional.

Do your own work. Cheating will lead to dismissal. Do not copy the work of others. Do not use others to do your work. Do not pass off work done in past semesters as work done for this course. Assignments must incorporate lessons taught in class. Personal assignments must be produced individually.

Session-1:

Discussion on the Subject and its ApplicationsDigital Image RepresentationFundamental Steps in Image Processing

Session-2:

Elements of Digital Image Processing SystemsElements of Visual PerceptionThe Image Model

Session-3:

Quiz#01 on previous two Sessions.Basic relationship between pixelsImage transformations

Session-4:

Introduction and Application of Image EnhancementEnhancement by point processingImage filteringAssignment #01

Session-5:

IPTool DemoMatlab Exercises and Assignment #02 on Image Enhancement

Session-6:

Image filtering (Cont…)Image compression

Session-7:

Quiz #02 on previous two sessionsIntroduction to Image Segmentation and applicationDetection of discontinuitiesEdge LinkingPractical on MatlabAssignment #03 on Segmentation

Session-8:

Mid-termTopics for Projects, Research Presentations

Session-9:

Matlab Exercises

Session-10:

ThresholdingRegion oriented SegmentationUse of motion in Segmentation

Session-11:Quiz #03 on previous two sessionsRepresentation and DescriptionChain Codes, Polygonal Approximations etc.

Session-12:Morphological DescriptionMorphological Algorithms

Session-13:Image Recognition and InterpretationTheoretic methodsStructural MethodsAssignment #03 on Representation and description

Session-14:

Quiz #04 on Previous two SessionsPresentations and Project Submission

Session-15:Project Presentation

Session-16:Course Review

T esting and G rading: Learning will be accomplished through lectures, discussion on latest research in DIP, outside readings, Assignments and Student’s participation in classroom discussion, projects and presentations. Grading will tend to focus on your

overall performance rather than one or two aspects. A comprehensive final examination will be given. Course grade will include the quizzes, assignments, projects and presentations. Excessive absences because of any reason (more than 03) will result in “F Grade”. Students coming late to the class will also be marked absent. Test questions may be taken from textbook readings, hypertext material, additional material discussed in class and/or other assigned readings. Students may prepare notebook for taking notes and for references.

Marks Distribution of 100%:

Quizzes 10%Mid-Term 30%Assignments 10%Project 10%Final Exam 40%

R ecommended B ook:

Digital Image Processing By Rafael C. Gonzalez and Richard E. Woods, Addison-Wesley Publishing Company.

R eference B ook:

Image Processing, Analysis and Machine Vision 2nd Edition by Milan Sonka.