Nasser Abbasi Course EECS 207A (Advanced dImage processing) webpage

Nasser Abbasi Course EECS 207A (Advanced Image processing) webpage

Fall 2004. University of California, Irvine

Last updated Dec 10, 2004

Introduction

I took this course at UCI in fall 2004 to learn more about image processing.

Instructor is Professor Meyer course web site is

http://imaging.eng.uci.edu/~jmeyer/COURSES/EECS207A/ which contains lecture notes. (archived here)

See the syllabus here (archived here also)

Instructor

Professor Meyer is the head of the UCI interactive visualization Lab http://imaging.eng.uci.edu/ email jmeyer@uci.edu

Dr Meyer is an expert of this subject and I enjoyed taking this course with him.

Dr Asha Pahwa (gave 2 lectures for us) web site is

http://www.dv-studio.com/Files/DIP/

Related Links

· http://www.pages.drexel.edu/~weg22/can_tut.html canny algorithm web page

· http://www.pages.drexel.edu/~weg22/edge.html sobel ede detection algorithm web page

· http://www.cee.hw.ac.uk/hipr/html/featops.html Marr operator, and other edge detection algorithms.

· http://users.ntua.gr/karank/topo/PhD_notes/Edge%20Detection/Ed_main.htm page on edge detections

· A canny.exe application, which implements canny edge detection algorithm, can be found on this site http://students.cs.tamu.edu/dingle/Programs/CompVision/ when running the program, right click on the image itself to get more options.

Course grading

This is email from Professor Meyer on the grading of the course.

My lecture notes PDF

HW’s

HW #	HTML	Description
HW1	HTML	Easy problem. Compute Fourier coeff. Of a given function (Implemented in Matlab, Maple and Mathematica)
HW2	HTML	Computer the DCT of a block of pixels. Then the IDCT. Generate Huffman code for a string and look at amount of compression achieved. Implemented using Mathematica
HW3	these are some notes.
HW4	HTML	Apply marr edge detection algorithm (also called zero crossing, or the Laplacian of Gaussian edge detector) on 2 different types of images (one with more details, and another with more noise) and observe and comment on the results. Next, Apply the canny algorithm on same images and comments on the differences between the two algorithms
HW5	Initial outline [ PDF , HTML ] Final report.[ PDF , HTML ] Code: 1. Mathematica notebook.. 2. Mathematica notebook in HTML format	How to detect a specific color and specific shape.