Mapping adaptive fuzzy Kohonen clustering network onto distributed image processing system
✍ Scribed by Mikhail S. Tarkov; Youngsong Mun; Jaeyoung Choi; Hyung-Il Choi
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 218 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
✦ Synopsis
Algorithm of mapping adaptive fuzzy Kohonen clustering network (AFKCN) onto an image processing system with distributed memory and torus topology is presented. A hypercube is used as a structure of the AFKCN parallel program for image segmentation. The impossibility of message congestions on torus links is proved for the hypercube-to-torus XOR-embedding. Expressions for the parallel AFKCN performance analysis are given. For distributed image processing systems having two-and three-measured torus topologies the analysis shows good estimation of the parallel AFKCN implementation.