Object segmentation algorithm using snakes in stereo images

Shin-Hyoung Kim; Jong-Whan Jang; JaeHo Choi

doi:10.1117/1.2181569

1 March 2006 Object segmentation algorithm using snakes in stereo images

Shin-Hyoung Kim, Jong-Whan Jang, JaeHo Choi

Author Affiliations +

Optical Engineering, Vol. 45, Issue 3, 037005 (March 2006). https://doi.org/10.1117/1.2181569

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Shin-Hyoung Kim, Jong-Whan Jang, and JaeHo Choi "Object segmentation algorithm using snakes in stereo images," Optical Engineering 45(3), 037005 (1 March 2006). https://doi.org/10.1117/1.2181569

Published: 1 March 2006

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