Analysis of Image Segmentation and Edge Detection in Medical Images
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 5
Abstract
Accurate Image segmentation and edge detection are fundamental for Medical diagnosis, Locate tumours and other pathologies, Measure tissue volumes, computer-guided imaginary, Treatment Planning and Study of anatomical structure. The proposed method for image segmentation is Active contour model. It uses parameterized representation of evolving curves to segment image images. It utilizes edge information of the image to lock the evolving curve on to the boundary of the objects in image. The second Geodesic Active contour method uses both edge and region information for segmentation. There are some Images whose boundaries are not well defined called “without edges” segmented through new region based active contour model. Recent Developments, reported in this paper, demonstrate that the proposed segmentation algorithms outperforms some well-known methods in both accuracy and processing speed.
Authors and Affiliations
B. Sabarigiri, , H. Vignesh Ramamoorthy,
Keywords
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