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Optical Engineering

Object segmentation algorithm using snakes in stereo images
Author(s): Shin-Hyoung Kim; Jong-Whan Jang; JaeHo Choi
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Paper Abstract

A snake-based algorithm for segmenting an object from a pair of stereo images is presented. Unlike previously developed snake-based algorithms, this one performs well even when the objects in the picture are occluded and the background behind them is cluttered. Also, the algorithm is not sensitive to the placement of the initial snake points. The algorithm uses a new energy function defined over the disparity space between the pair of the stereo images to successfully locate the boundary of an object in a complex image. Experimental results have shown that the developed algorithm produces more accurate segmentation results than those of the well-known conventional snake algorithm reported by Kass et al.

Paper Details

Date Published: 1 March 2006
PDF: 14 pages
Opt. Eng. 45(3) 037005 doi: 10.1117/1.2181569
Published in: Optical Engineering Volume 45, Issue 3
Show Author Affiliations
Shin-Hyoung Kim, Paichai Univ. (South Korea)
Jong-Whan Jang, Paichai Univ. (South Korea)
JaeHo Choi, Chonbuk National Univ. (South Korea)


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