New method to optimize initial point values of spatial fuzzy c-means algorithm
Fuzzy based segmentation algorithms are known to be performing well on medical images. Spatial fuzzy C-means (SFCM) is broadly used for medical image segmentation but it suffers from optimum selection of seed point initialization which is done either manually or randomly. In this paper, an enhanced...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2015
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58641/1/ImanOmidvar2015_NewMethodtoOptimizeInitialPoint.pdf http://eprints.utm.my/id/eprint/58641/ http://dx.doi.org/10.11591/ijece.v5i5.pp1035-1044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|