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Optical Engineering

Dividing snake algorithm for multiple object segmentation
Author(s): Chong Sze Tong; P. C. Yuen; Y. Y. Wong
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Paper Abstract

Active contour models, otherwise known as snakes, are extensively used in image processing and computer vision applications. However, although the approach is popular for detecting the contours of smooth convex objects, it is much more problematic in handling images containing an object with concave parts or sharp corners, or multiple objects. We further develop our segmented snake approach to contour detection and illustrate its flexibility by showing how it can be adapted to yield a dividing snake algorithm for use in multiple object segmentation. We also introduce a snake relaxation technique that can improve the convergence of the snake contour onto the object boundary.

Paper Details

Date Published: 1 December 2002
PDF: 6 pages
Opt. Eng. 41(12) doi: 10.1117/1.1517289
Published in: Optical Engineering Volume 41, Issue 12
Show Author Affiliations
Chong Sze Tong, Hong Kong Baptist Univ. (Hong Kong)
P. C. Yuen, Hong Kong Baptist Univ. (Hong Kong)
Y. Y. Wong, Hong Kong Baptist Univ. (Hong Kong)

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