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一种利用图像邻域信息进行边界光滑的纹理识别的方法
引用本文:张震宇,陈怀楚,曹亦明,刘伟.一种利用图像邻域信息进行边界光滑的纹理识别的方法[J].计算机应用,2004,24(12):25-27.
作者姓名:张震宇  陈怀楚  曹亦明  刘伟
作者单位:1. 清华大学,计算机科学与技术系,北京,100084
2. 清华大学,计算中心,北京,100084
3. 清华大学,生物医学工程系,北京,100084
摘    要:在传统纹理识别方法中,纹理识别是对图像分块进行的,因此得到的纹理边界不光滑,同时呈现明显的分块痕迹。一种充分利用图像邻域信息的“相关度计算”方法,通过计算包含象素点的所有图像分块被识别的概率,来判断象素点是否被识别。结果表明,“相关度计算”方法可以得到相对光滑的纹理边界。

关 键 词:纹理识别  纹理分割  边界  邻域信息
文章编号:1001-9081(2004)12-0025-03

Method of getting smooth edge in texture recognition using neighborhood information
ZHANG Zhen-yu,CHEN Huai-chu,CAO Yi-ming,LIU Wei.Method of getting smooth edge in texture recognition using neighborhood information[J].journal of Computer Applications,2004,24(12):25-27.
Authors:ZHANG Zhen-yu  CHEN Huai-chu  CAO Yi-ming  LIU Wei
Affiliation:ZHANG Zhen-yu~1,CHEN Huai-chu~2,CAO Yi-ming~1,LIU Wei~3
Abstract:Texture recognition is implemented by separating the image into blocks in traditional methods. So the edge of the texture is not smooth enough and appears an obvious track of block-separating. A method named correlativity calculation was introduced. Making full use of neighborhood information of the image, this method determined whether or not a pixel would be recognized through calculating the recognition rate of every image block which contained the same pixel, and thus resulted in a relatively smooth edge.
Keywords:texture recognition  texture segmentation  edge  neighborhood information
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