Project Title: Contour detection and classification using Artificial Neural Networks
Academic Research Areas: Image Processing, Medical diagnosis
This project will investigate the use of Artificial Neural Networks for detection of contours from X-ray and CT scan images and compare them with at least one traditional image processing method.
Aim: To apply Artificial Neural Networks (ANNs) for the detection of Region of Interest (contours) in medical images to automate medical diagnosis.
Objectives: It is expected that the student will be able to
(i) Investigate the traditional image processing techniques for contour detection;
(ii) Investigate the use of ANNs for contour detection applications;
(iii) Implement one algorithm based on ANNs using medical images;
(iv) Implement at least one technique of contour detection used in image processing;
(v) Compare the effectiveness of the two approaches.
The project will develop a Matlab-based suite with appropriate GUI for the selection of test images, choice of algorithm to use and display all the results in appropriate graphical and numerical formats.
1. Access to medical images (some available on the Web and some as part of a research project within the department).
2. Matlab/Simulink software