Texture Image Segmentation Based on Gabor Wavelet Using Active Contours Without Edges

Wang Kai-bin; Yu Bian-zhang; Zhao Jian; Li Hai-ning; Xie Hong-mei

doi:10.3724/SP.J.1146.2006.00767

Volume 29 Issue 12

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(12): 2819-2821

Wang Kai-bin, Yu Bian-zhang, Zhao Jian, Li Hai-ning, Xie Hong-mei. Texture Image Segmentation Based on Gabor Wavelet Using Active Contours Without Edges[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2819-2821. doi: 10.3724/SP.J.1146.2006.00767

Citation:

Wang Kai-bin, Yu Bian-zhang, Zhao Jian, Li Hai-ning, Xie Hong-mei. Texture Image Segmentation Based on Gabor Wavelet Using Active Contours Without Edges[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2819-2821. doi: 10.3724/SP.J.1146.2006.00767

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Texture Image Segmentation Based on Gabor Wavelet Using Active Contours Without Edges

doi: 10.3724/SP.J.1146.2006.00767

Received Date: 2006-06-01
Rev Recd Date: 2007-01-12
Publish Date: 2007-12-19

Abstract

Abstract

Texture is often divided into lots of isolate areas when a texture image is segmented. This paper develops a new method for texture image segmentation. It uses Gabor wavelet to extract texture features, and then Chan and Vese model is employed to segment a texture image. Compared to other texture segmentation methods using Chan and Vese models, the proposed method has two advantages. First, by combining the gray levels of pixels and texture information of an image, this method can be used for segmentation of a texture image or a none-texture image. Second, the hierarchical method proposed in this paper can avoid the problem due to the choice of initial conditions. The segmentation tests for remote sensing and natural texture images prove the proposed segmentation method is accurate and efficient.

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References(1)

References

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