&lt;title&gt;Texture segmentation using visual nonlinearity&lt;/title&gt;

Xianming Xie; Nong Sang; Tianxu Zhang; Guoyou Wang

doi:10.1117/12.223973

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<title>Texture segmentation using visual nonlinearity</title>

Xianming Xie Nong Sang Tianxu Zhang Guoyou Wang

Year: 1995 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2597 Pages: 142-149 Publisher: SPIE

DOI: 10.1117/12.223973

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Abstract

Contrast based texture segmentation method is presented in this paper. When defining the measurements such as contrast and homogeneity of regions the visual characteristics are considered. When calculating the measurements some fast algorithms are used. Some images and their segmented results are also provided.

Keywords:

Segmentation Artificial intelligence Contrast (vision) Computer vision Computer science Homogeneity (statistics) Image texture Texture (cosmology) Image segmentation Pattern recognition (psychology) Scale-space segmentation Image (mathematics) Machine learning

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

<title>Texture segmentation using visual nonlinearity</title>

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