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Description: This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited simultaneously. Contours are treated in the intervening contour framework, while
texture is analyzed using textons. Each of these cues has a domain of applicability, so to facilitate cue combination we
introduce a gating operator based on the texturedness of the neighborhood at a pixel. Having obtained a local measure
of how likely two nearby pixels are to belong to the same region, we use the spectral graph theoretic framework of
normalized cuts to find partitions of the image into regions of coherent texture and brightness. Experimental results
on a wide range of images are shown.
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Size: 159744 |
Author: aan |
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Description: WINDOWS操作系统下MATLAB图像处理工具箱,非常好用-Matlab demo-Image processing toolbox
- Texture Segmentation Using Texture Filte
(entropyfilt)
- color-Based Segmentation Using K-Means Clustering
Vgg-matlab
Zisserman: Texture Classification: Are Filter Banks Necessary? CVPR 03
T. Leung and J. Malik. Representing and recognizing the visual appearance of materials using three-dimensional textons. IJCV, 2001
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Size: 229376 |
Author: lucyliu |
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Description: 多基元直方图MTH源代码,欢迎大家下载,哈哈(Multi textons histogram MTH source code)
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Size: 12288 |
Author: genous110
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