Medical Image Segmentation Based on Level Set Method
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 10, Issue 6
Abstract
This paper presents a shape-based approach to curve evolution for the segmentation of medical images. Automatic interpretation of medical images is a very difficult problem in computer vision. Several methods have been developed in last decade to improve the segmentation performance in computer vision. A promising mathematical framework based on variational models and partial differential equations has been investigated to solve the image segmentation problem. This approach benefits from well-established mathematical theories that allow people to analyze, understand and extend segmentation methods. In this paper, a variational formulation is considered to the segmentation using active contours models
Authors and Affiliations
Md. Golam Moazzam
Keywords
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