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基于相容粒的多层次纹理特征图像检索方法
Feature Images Retrieval Method of Tolerance Granular-based Multi-level Texture
【摘要】 针对传统纹理图像检索方法精度不理想的问题,给出了基于相容粒空间的多层次图像纹理识别方法。然后,针对纹理图像在颜色考虑上的缺失,提出了在粒度层次上进行颜色匹配的方法。最后,结合以上两种方法,给出了综合颜色和纹理特征的相似度改进算法。对比实验证明了该方法的有效性和合理性。
【Abstract】 In order to solve the problem the inaccuray of texture image retrieval the traditional methods,a method of multi-level image texture recognition based on tolerance granular space is proposed.Considering the loss of color in texture image,a color matching method is addressed based on granularity level.Combining the above two methods,an improved similarity algorithm which integrates color and texture features is given.Comparative experiments showed that the method is effective and reasonable.
【关键词】 相容粒;
嵌套覆盖系统;
纹理识别;
颜色空间信息熵;
【Key words】 tolerance granular; nested coverage system; texture recognition; color spatial distribution entropy;
【Key words】 tolerance granular; nested coverage system; texture recognition; color spatial distribution entropy;
【基金】 国家自然科学基金资助项目(60873104,61040037);河南省高校新世纪优秀人才支持计划项目(2006HANCET-19);河南省教育厅自然科学基金资助项目(2008B520019)
- 【文献出处】 广西师范大学学报(自然科学版) ,Journal of Guangxi Normal University(Natural Science Edition) , 编辑部邮箱 ,2011年01期
- 【分类号】TP391.41
- 【被引频次】8
- 【下载频次】129