Clothing image retrieval by salient region detection and sketches

被引：0

作者：

Wu C. ^{[1
]}

Liu L. ^{[1
,2
]}

Fu X. ^{[1
,2
]}

Liu L. ^{[1
,2
]}

Huang Q. ^{[1
,2
]}

机构：

[1] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, Yunnan

[2] Computer Technology Application Key Laboratory of Yunnan Province, Kunming University of Science and Technology, Kunming, 650500, Yunnan

来源：

Fangzhi Xuebao/Journal of Textile Research | 2019年 / 40卷 / 07期

关键词：

Clothing retrieval; Feature matching; Saliency detection; Sketch-based image retrieval;

D O I：

10.13475/j.fzxb.20180900808

中图分类号：

学科分类号：

摘要：

In order to solve the problems of unsatisfactory accuracy and low efficiency in the clothing image retrieval, a sketch based clothing image retrieval method by visual salient regions and re-ranking was proposed. Firstly, clothing salient edge map was obtained by saliency detection method with regularized random walks walking and the edge map. Then, histogram of oriented gradeient features of user sketches and the salient edge in clothing images were extracted, respectively, and the feature matching was achieved by similarity calculation between the input sketches and clothing images. Finally, the retrieval results were output in descending order according to the similarity. Using the re-ranking optimization based on distance correlation coefficients, final results were obtained. Experimental results show that the method can effectively provide clothing retrieval results and significantly improve accuracy and robustness comparison with other approaches. The accuracy ratio of the algorithm is higher than 78.5%. Copyright No content may be reproduced or abridged without authorization.

引用

页码：174 / 181

页数：7

共 21 条

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