DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-2, Issue-9 ( Sep, 2015 ) | |||||||||
Paper Title |
Liver Image Segmentation Using Ant Colony Based K-Means Clustering And Level Sets | |||||||||
Author Name |
Ina Singh, Neelakshi Gupta | |||||||||
Affilition |
Department of ECE, Amritsar College of engineering and Technology | |||||||||
Pages |
36-40 | |||||||||
Abstract |
Image Segmentation is important problem in medical image processing fields. Segmentation of liver remains a challenging task in clinical applications due to high inter-patient variability in size, shape, volume and pathologies. In this paper, we proposed liver image segmentation based on Ant colony Optimization based K-means Clustering and levels sets. The MATLAB is used as a tool for performing this study. The ACO is used to optimize the results of K-Means Clustering algorithm. An Abdominal CT image is used to perform the segmentation process and obtain the results. Keywords - Ant Colony Optimization, K-Means Clustering, Level Set Segmentation, Liver Segmentation. | |||||||||
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