Image Processing Outline for BME Graduate Laboratory 591, Fall 2002
(10/15/02 by Walter O'Dell, Ph.D.)
Overall task is to detect and count cells of various types in an image
Session 1
Introduction and Background
Human Perception
Edge Detection
Lab Session 1
Optional Bonus Topic: Snakes
UofR Campus Library
Axial CT image of a lung
Session 2
Recap of Session I
Image Noise
Lab Session 2
Signal Averaging
Sliding Hat Filters
Gaussian Filters
Optional Bonus topic: Filtering in the Frequency Domain
Session 3
Recap of Session 2
Image Convolution vs Correlation
Statistical Correlation (Template Matching)
Template Matching to Gradient Images
Selection of Templates
Lab Session 3
Cell Counting Algorithm
Primer on Coding with ImageJ
