Medical Image Processing Final Project
Objective: Select a method or algorithm and use MATLAB or other languages to implement this chosen method or algorithm with medical image-processing examples.
Topics: Medical image-processing applications of
A. Your interest.
B. Some algorithm in the textbook.
C. Suggested methods or algorithms as the follows:
1. Pages 242-243, fuzzy c-means clustering.
2. Pages 244-245, adaptive FCM algorithm.
3. Pages 255-258, backpropagation neural network for classification.
4. Pages 258-259, radial basis function (RBF) network
5. Pages 270-271, shape features.
6. Pages 280-282, texture features.
7. Pages 316-319, principal axes registration.
8. Pages 319-323, iterative principal axes registration.
9. Pages 323-324, similarity transformation for point-based registration.
10. Pages 324-325, weighted features based registration.
Project Due 2013/1/7
1. Title page
2. Introduction
3. Program structures including flowcharts and descriptions of procedures.
Project demo, 2013/1/7
Final project report, source codes, images, and executables must be handed in.
Requirements:
Each project can be done by one, two, or three people. Each project must be demonstrated in the classroom on 2013/1/7.