Texture image segmentation using LTP-based active contour model

Guan-nan Chen; Heng-yang Hu; Zu-fang Huang

doi:10.1117/12.918895

17 February 2012 Texture image segmentation using LTP-based active contour model

Guan-nan Chen, Heng-yang Hu, Zu-fang Huang

Proceedings Volume 8332, Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging; 83320X (2012) https://doi.org/10.1117/12.918895
Event: Photonics and Optoelectronics Meetings 2011, 2011, Wuhan, China

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.

Citation Download Citation

Guan-nan Chen, Heng-yang Hu, and Zu-fang Huang "Texture image segmentation using LTP-based active contour model", Proc. SPIE 8332, Photonics and Optoelectronics Meetings (POEM) 2011: Optoelectronic Sensing and Imaging, 83320X (17 February 2012); https://doi.org/10.1117/12.918895

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