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Proceedings Paper

Texture image segmentation using LTP-based active contour model
Author(s): Guan-nan Chen; Heng-yang Hu; Zu-fang Huang
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Paper Abstract

In this paper, a novel algorithm is proposed for unsupervised segmentation that incorporates a local trinary pattern (LTP) operator representation of textures under a geometric active contour framework. First, by combining the gray levels of pixels with texture information of an image, this method can be used for segmentation of a texture image or a nontexture image. And then, the method is modified to avoid the additional computation problem without re-initialization repeatedly. The simulation experiments show that the proposed segmentation method is more efficient, accurate and fast.

Paper Details

Date Published: 17 February 2012
PDF: 6 pages
Proc. SPIE 8332, Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging, 83320X (17 February 2012); doi: 10.1117/12.918895
Show Author Affiliations
Guan-nan Chen, Fujian Normal Univ. (China)
Heng-yang Hu, Fujian Normal Univ. (China)
Zu-fang Huang, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 8332:
Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging
Pierre Galarneau; Xu Liu; Pengcheng Li, Editor(s)

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