| 基于非线性扩散的纹理分割 |
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| 引用本文： | 张煜. 基于非线性扩散的纹理分割[J]. 地球空间信息科学学报, 2008, 11(1): 38-42. DOI: 10.1007/s11806-007-0145-6 |
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| 作者姓名： | 张煜 |
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| 作者单位： | Yangtze River |
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| 摘 要： | A texture image segmentation based on nonlinear diffusion is presented. The scale of texture can be measured during the process of nonlinear diffusion. A smooth 5-channel vector image with edge preserved, which is composed of intensity, scale and orientation of texture image, can be achieved by coupled nonlinear diffusion. A multi-channel statistical region active contour is employed to segment this vector image. The method can be seen as a kind of unsupervised segmentation because parameters are not sensitive to different texture images. Experimental results show its high efficiency in the semiautomatic extraction of texture image.
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| 关 键 词： | 非线性扩散 纹理分割 遥感技术 图像分析 |
Texture image segmentation based on nonlinear diffusion |
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| Yu Zhang. Texture image segmentation based on nonlinear diffusion[J]. Geo-Spatial Information Science, 2008, 11(1): 38-42. DOI: 10.1007/s11806-007-0145-6 |
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| Authors: | Yu Zhang |
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| Affiliation: | Yangtze River Scientific Research Institute, 23 Huangpu Road, Wuhan 430010, China |
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| Abstract: | A texture image segmentation based on nonlinear diffusion is presented. The scale of texture can be measured during the process of nonlinear diffusion. A smooth 5-channel vector image with edge preserved, which is composed of intensity, scale and orientation of texture image, can be achieved by coupled nonlinear diffusion. A multi-channel statistical region active contour is employed to segment this vector image. The method can be seen as a kind of unsupervised segmentation because parameters are not sensitive to different texture images. Experimental results show its high efficiency in the semiautomatic extraction of texture image. |
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| Keywords: | texture image segmentation nonlinear diffusion statistical region active contour |
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