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基于图像内容和支持向量机的服装图像检索方法研究

薛培培 邬延辉

移动通信Issue(2):79-82,87,5.
移动通信Issue(2):79-82,87,5.DOI:10.3969/j.issn.1006-1010.2016.02.016

基于图像内容和支持向量机的服装图像检索方法研究

A Clothing Image Retrieval Method Based on Image Content and Support Vector Machine

薛培培 1邬延辉1

作者信息

  • 1. 宁波大学,浙江 宁波 315211
  • 折叠

摘要

Abstract

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 of image retrieval.

关键词

图像检索/颜色直方图/SIFT特征/支持向量机

Key words

image retrieval/color histogram/scale-invariant feature transform/support vector machine

分类

信息技术与安全科学

引用本文复制引用

薛培培,邬延辉..基于图像内容和支持向量机的服装图像检索方法研究[J].移动通信,2016,(2):79-82,87,5.

移动通信

1006-1010

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