ENSC-460 IMAGE PROCESSING AND ANALYSIS

Instructor: Mirza Faisal Beg

Course Description: This course aims to give a broad background into techniques used in image processing and analysis. The topics covered include image transforms, image interpolation, enhancement and filtering in spatial and frequency domains, image segmentation and brief introduction to rigid and non-rigid image registration. The depth of emphasis for the topics covered will be flexible and tailored depending on the students intended area of applications.

Outline of topics to be covered:

Image Transforms: Fourier, FFT, Hough, Wavelet, Discrete Cosine Transform.
Geometric Processes: Convolution, blurring, sharpening, Image Interpolation - Survey of existing interpolation techniques such as nearest-neighbour, bi-linear, cubic convolution, spline-based.
Image Enhancement: Filtering, Noise removal
Feature Detection: Edge-detectors, landmark and curve detection
Image Segmentation: Thresholding, Bayesian segmentation.
Geometric Transformations on Images: Rigid and Non-rigid registration techniques

Class Location and Time:

Monday, 4:30 - 5:50 pm, West Mall Complex 3510
Wednesday, 4:30 - 5:50 pm, West Mall Complex 3250

Here is map of SFU showing West Mall Complex and here is a link describing the class rooms WMC 3510 and WMC 3250.

Category Number for registration: 6407

Prerequisites: Proficiency expected with elementary calculus and linear algebra concepts (Math 232) and linear systems concepts (ENSC 380) or instructor's permission in absence of these prerequisites. Also required is a proficiency in one programming language, preferably C++ but JAVA, C and MATLAB equally valid choices.

Textbook: We will be following Digital Image Processing, Second Edition by Rafael Gonzalez and Richard Woods. Published by Prentice Hall, ISBN 0201180758. Here is a link to sample chapters 1 and 2 from this book . Notes will also be provided for topics that are not covered in the book or which need additional reading material.

Reference books:

Digital Image Processing by Kenneth Castleman. Published by Prentice Hall, ISBN 0132114674.

Digital Image Processing by Anil Jain, Published by Prentice Hall ISBN 0133361659.

Office Hours: Monday 2:30 to 4:00. I will assign HW on Wednesday and have it due one week later in class, so you can use the office hours for clarification on problem solutions after you have had a chance to work through them yourself.

Grading Policy: (PRIMARY) 25% Final (inclass) , 10% Final Project, 25% Midterm (inclass + Project), 40% Homework.

The WebCT is now the main repository for material for this course. Please check your webCT area often and use the many features available there.

Link to Software.

Link to WebCT

Link to Images