引用本文: | 刘俊义,王润生.一种快速检测纹理斑块的方法.[J].国防科技大学学报,2001,23(2):90-93.[点击复制] |
LIN Junyi,WANG Runsheng.An Efficient Algorithm for Texture Fault Detection[J].Journal of National University of Defense Technology,2001,23(2):90-93[点击复制] |
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一种快速检测纹理斑块的方法 |
刘俊义, 王润生 |
(国防科技大学 ATR国家重点实验室, 湖南 长沙 410073)
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摘要: |
提出一种检测纹理图像中的斑块的快速算法。算法利用图像中每个位置的代表块与纹理原型的K-S距离来进行纹理分类。研究了K-S距离的基本性质,给出了纹理原型的估计方法和层次快速搜索技术。对合成图像和自然图像的实验结果表明了该方法的有效性。 |
关键词: 纹理 纹理分类 Kolmogorov-Smirnov距离 |
DOI: |
投稿日期:2000-09-28 |
基金项目: |
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An Efficient Algorithm for Texture Fault Detection |
LIN Junyi, WANG Runsheng |
(ATR State Key Lab, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
A method for fast detection of texture faults in texture images is presented. Texture discrimination is implemented based on the K-S distance of the representative block of each site in the image and the texture prototype. The basic properties of the K-S distance are studied here. A texture prototype estimation method and a hierarchical efficient searching method are presented. The experimental results for both natural and synthetical images have proved the efficiency of this algorithm. |
Keywords: Texture Texture discrimination Kolmogorov-Smirnov distance |
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