 |
My ICIP 2006 Schedule
Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
Paper Detail
| Paper: | WA-P1.1 |
| Session: | Image and Video Segmentation |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster |
| Topic: |
Image & Video Segmentation: Clustering-based methods |
| Title: |
APPLYING ANT COLONY OPTIMIZATION TO BINARY THRESHOLDING |
| Authors: |
Alice R. Malisia; University of Waterloo | | | | | Hamid R. Tizhoosh; University of Waterloo | | |
| Abstract: |
This paper is an investigation of the application of ant colony optimization to image thresholding. It presents an approach where ants are assigned to each pixel of an image and they move around the image seeking low grayscale regions. The proposed ant-based method performs better than three other established thresholding algorithms. Further work must be conducted to optimize parameters, select the best cost function, improve the analysis of the pheromone data and reduce computation time. The study indicates that an ant-based approach has the potential of becoming an established image thresholding technique. |
|
