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Optical Engineering

Snake-based contour detection for objects with boundary concavities
Author(s): Shin-Hyoung Kim; Ashraf M. Alattar; Jong-Whan Jang
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Paper Abstract

We present a snake-based scheme for efficiently detecting contours of objects with complex boundary concavities. The proposed method is composed of two steps. First, the object's boundary is detected using the proposed snake model. Second, snake points are optimized by inserting new points and deleting unnecessary points to better describe the object's boundary. We use the Frenet formula to calculate the binormal vector at snake points and use the result to control the direction of movement for snake points near boundary concavities. The proposed algorithm can successfully extract objects with boundary concavities. Experimental results have shown that our algorithm produces more accurate segmentation results than the conventional algorithm.

Paper Details

Date Published: 1 March 2008
PDF: 7 pages
Opt. Eng. 47(3) 037002 doi: 10.1117/1.2894148
Published in: Optical Engineering Volume 47, Issue 3
Show Author Affiliations
Shin-Hyoung Kim, Paichai Univ. (South Korea)
Ashraf M. Alattar, Paichai Univ. (South Korea)
Jong-Whan Jang, Paichai Univ. (South Korea)


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