计算机工程与应用Issue(7)：167-170,4.DOI:10.3778/j.issn.1002-8331.1202-0115
综合颜色特征与形状特征的图像检索算法
Image retrieval approach combining color feature and shape feature
摘要
Abstract
Because of the wavelet transform has good local characteristics and multi-scale characteristic, it can be multi-scale edge approximation, this makes it wide range of applications in image singularity detection and feature extraction. Using dyadic wavelet transform on edge detection, use of edge gradient direction histogram express shape features, use of HSV color model express image color features, this paper puts forward an algorithm that image retrieval approach combining color feature and shape feature. The experimental results show that the algorithm not only has a strong robustness to the image illumination change, and geometry change, and has a good retrieval performance.关键词
图像检索/二进小波变换/边缘检测/颜色特征/形状特征Key words
image retrieval/dyadic wavelet transform/edge detection/color feature/shape feature分类
信息技术与安全科学引用本文复制引用
阿卜杜如苏力·奥斯曼,吐尔洪江·阿布都克力木,马丽亚木·阿布来孜..综合颜色特征与形状特征的图像检索算法[J].计算机工程与应用,2013,(7):167-170,4.基金项目
新疆维吾尔自治区自然科学基金(No.200721104) （No.200721104）
国家自然科学基金(No.10661010,No.11261061) （No.10661010,No.11261061）
新疆师范大学2012年大学生课外学术科技作品项目 （）
