基于图像内容和支持向量机的服装图像检索方法研究OA
A Clothing Image Retrieval Method Based on Image Content and Support Vector Machine
基于内容的图像检索技术在电商领域的应用已逐渐成为研究热点。根据服装图像的特点，提出了一种基于颜色特征和尺度不变特征转换（SIFT）并进行特征融合的服装图像检索方法，在此基础上利用支持向量机加入相关反馈技术，来提高图像的检索准确率。实验结果表明，提出的方法可以提高图像的检索准确率。
Content-based image retrieval technology has become a popular topic in the field of electronic commerce. According to characteristics of clothing image, a feature-fused clothing image retrieval method combined color feature with scale-invariant feature transform (SIFT) was proposed. Support vector machine was also used to add feedback to enhance the accuracy of image retrieval. Experimental results show that the proposed method can improve the accuracy…查看全部>>
薛培培;邬延辉
宁波大学，浙江 宁波 315211宁波大学，浙江 宁波 315211
信息技术与安全科学
图像检索颜色直方图SIFT特征支持向量机
image retrievalcolor histogramscale-invariant feature transformsupport vector machine
《移动通信》 2016 (2)
79-82,87,5
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