Paper Title
Liver Image Segmentation Using Ant Colony Based K-Means Clustering And Level Sets
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.
Author - Ina Singh, Neelakshi Gupta
Published : Volume-2, Issue-9 ( Sep, 2015 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-2992
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Published on 2015-09-11 |
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