International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 153 - Number 10 |
Year of Publication: 2016 |
Authors: S. Rakoth Kandan, J. Sasikala |
10.5120/ijca2016912174 |
S. Rakoth Kandan, J. Sasikala . Segmentation Techniques for Medical Images – An Appraisal. International Journal of Computer Applications. 153, 10 ( Nov 2016), 27-31. DOI=10.5120/ijca2016912174
This Paper provides the various analyses of Image Segmentation techniques for any field of image processing based applications. Segmentation is considered as a basic need in image processing for find the lines, curves, boundaries, etc in an image. In order to classify the segmentation techniques such as GA, Neural Network, Soft Computing and various image segmentation techniques and their performances analysis is done. Based on the performance analysis of segmentation techniques has been analyzed and conclude that each technique as best under the various field.