A Review on Image Segmentation using Clustering and Swarm Optimization Techniques |
Author(s): |
| Pragya Sharma , MPCT, Gwalior; Unmukh Datta, MPCT, Gwalior |
Keywords: |
| ACO, PSO, Image segmentation, K-Mean Fuzzy C-Means |
Abstract |
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The process of dividing an image into multiple regions (set of pixels) is known as Image segmentation. It will make an image easy and smooth to evaluate. Image segmentation objective is to generate image more simple and meaningful. In this paper present a survey on image segmentation general segmentation techniques, clustering algorithms and optimization methods. Also a study of different research also been presented. The latest research in each of image segmentation methods is presented in this study. This paper presents the recent research in biologically inspired swarm optimization techniques, including ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and their hybridizations, which are applied in several fields. |
Other Details |
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Paper ID: IJSRDV3I100521 Published in: Volume : 3, Issue : 10 Publication Date: 01/01/2016 Page(s): 803-807 |
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