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 2014/1/7

1. Title page

2. Introduction

3. Program structures including flowcharts and descriptions of procedures.

Project demo, 2014/1/7

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 2014/1/7.