A Composite Descriptor for Shape Image Retrieval

被引:0
|
作者
Wang, Xinjian [1 ]
Luo, Guangchun [1 ]
Qin, Ke [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
关键词
retrieval; special feature; shape matrix Fourier descriptor(SMFD); Histogram of Distances; Euclidean distance; CURVATURE SCALE-SPACE; FOURIER DESCRIPTORS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to quickly retrieval the interested image from the mass images, this paper proposed a composite descriptor based on contour shape and spacial feature for image retrieval. Firstly, we extract the contour by the shape matrix Fourier descriptor(SMFD). Then, use the adjacent contour sampling points and image center to form a triangle, the triangle have a only Circumcircle, use the radius of the Circumcircle to form a distance histograms, by adjusting the weight, combined the two methods, measures the similarity among the images with Euclidean distance. Finally, the experiment verified the feasibility and efficiency of the method. Experimental results show that the method is simple and fast, it has the character of transfer, rotation and scale invariant, it can achieve better retrieval accuracy and recall rates than the other method.
引用
收藏
页码:759 / 764
页数:6
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