COMPUTER ENG 4TN4
Image Processing
Academic year 2019-2020, term 2
Instructor: Xiaolin Wu, ITB-A315
Extension: 24190
Email: xwu@ece.mcmaster.ca
Office hours: Tuesdays 2pm~4pm
Teaching Assistants:
Xiaohong Liu, ITB-A203, office hours: Tuesday 2~5pm.
Mehdi Ayyoubzadeh, ITB-A103, office hours: Wednesday 11:00~2:00pm.
Lectures: 3 hours/week
Tutorial: 1 hour/week
Lecture Notes: week1.pdf; lecture3_enhancement_spatial.pdf; lecture4_enhancement_frequency.pdf; lecture5_restoration.pdf; Interpolation;segmentation; lecture8_registration.pdf; Visualization.pdf; morphology.pdf; color.pdf; lecture6_wavelet.pdf.
compressionslides\lec1.ppt;compressionslides\lec2.ppt;compressionslides\let3.ppt;compressionslides\let4.ppt.
Course Objectives:
Outline of Topics:
· Introduction
o Applications of image processing
o Elements of image processing system
· Digital Image Fundamentals
o Image perception
o Sampling and quantization
o Basic relationships between pixels
· Image Enhancement
o Point processing
o Spatial filtering
o Frequency domain method
· Image Restoration
o Degradation models
o Inverse filtering
o Minimum mean square error (Wiener) filtering
o Constrained least squares filtering
· Wavelets and multiresolution processing
o Multiresolution expansion
o Wavelet transforms in one dimension
o Wavelet transforms in two dimensions
· Image Compression
o Elements of information theory
o Lossless compression
o Lossy compression
o Image compression standards
· Image Segmentation
o Detection of discontinuities
o Segmentation by thresholding
o Region based segmentation
· Image representation and description
o Chain codes
o Fourier descriptors
o Moments
· Color image processing
o Color models
o Pseudocolor image processing
o Color transformation
· Morphological image processing
o Dilation and erosion
o Opening and closing
o Hit or miss transformation
Format: The course consists of class lecture sessions, tutorial session and a laboratory component. The lab component of the course consists of programming assignments and a small project.
Assessment:
Assignments: 5%
Quizzes: 20%
Final: 40%
Projects: 35%
Accreditation measurements: As part of the accreditation process for our undergraduate degrees, the Department is engaging in a “continuous improvement” process, part of which involves the assessment of the development of desirable attributes amongst a student cohort as a whole. This process is independent of the grading of individual students. In this course, indicators related to the development of the following attributes will be measured: Problem Analysis, Design, Individual and Team Work, and Professionalism.
Textbook:
“Digital Image Processing, 3rd edition”, by R. Gonzalez and R. Woods, Prentice Hall, 2002.
************************ OLD MATERIALS **************************************
Reading material for contrast enhancement: ContrastTIP-xwu.pdf; octmslides.pdf
Image formation model paper ImageFormation.pdf
Sample questions of midterm quizzes: makeup.pdf
2010 Project, part 1 http://grads.ece.mcmaster.ca/~shux/4tn4/ass_1.html
Midterm:
Midterm sample questions: midterm15_1.pdf; midterm15_2.pdf