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Medical Image Segmentation based on PSO-PFC
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 10 |
| Year of Publication: 2015 |
| Authors: Gundeep Bajwa, Harwant Singh Gill |
10.5120/ijca2015906210
|
Gundeep Bajwa, Harwant Singh Gill . Medical Image Segmentation based on PSO-PFC. International Journal of Computer Applications. 126, 10 ( September 2015), 33-37. DOI=10.5120/ijca2015906210
Abstract
The increasing influence of segmentation in medical image processing requires great need to develop robust image segmentation method to eliminate the problem of traditional methods. Fuzzy c-means (FCM) is an effective fuzzy clustering technique for medical image segmentation but FCM is noise-sensitive and time consuming with large set of medical images. A penalized fuzzy clustering (PFC) is implemented for eliminating noise sensitivity of FCM. This paper presents the hybrid approach that employs Particle swarm optimization (PSO) to optimize the results of PFC for medical images segmentation.
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