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• 计算机科学 • 上一篇    下一篇

基于颜色分块全局直方图的图像检索方法及系统实现

薛少娟, 左万利, 赫枫龄   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2005-10-10 修回日期:1900-01-01 出版日期:2006-07-26 发布日期:2006-07-26
  • 通讯作者: 左万利

Image Retrieval Methods and System Implementation Based on Color Segment Global Histograms

XUE Shaojuan, ZUO Wanli, HE Fengling   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2005-10-10 Revised:1900-01-01 Online:2006-07-26 Published:2006-07-26
  • Contact: ZUO Wanli

摘要: 通过比较全局颜色直方图和分块颜色直方图, 提出一种分块全局直方图的检索方法. 该方法以分块直方图的特征为基础, 在检索时, 由用户为含有重要空间信息的分块设置权值, 并将不注重空间信息的分块权值设为零. 系统将权值为零的分块重新合并为部分全局直方图, 计算所有权值非零分块的距离及部分全局直方图的距离, 再按照用户给出的权值进行加权累加作为两幅图像之间的最终距离. 结果表明, 两幅图像间 的距离越小, 则视觉差异也越小. 同时, 引入相关反馈技术以改善检索效果.

关键词: 图像检索, 特征提取, 颜色直方图

Abstract: Via the comparison of traditional histogram and segment based on histogram, a new image retrieval method of segment global histogram is proposed. The basic idea of segment global histogram is to divide image space into blocks according to a certain strategy, and then to calculate the color histogram of each block as the color feature of the corresponding block. Users assign a weight to each block according to the importance of the space information that the block contains. After the blocks with weight zero are merged into a single segment global histogram, on the system the distances between corresponding blocks with nonzero weight and the distance between partial segment global histograms are calculated. Then the overall distance accumulated according to weights given by users is regarded as the real distance between the two pictures. The pictures with less distances indicate less visional differences. Relevancefeedback is adopted to selfadjust the performance of the system.

Key words: image retrieval, feature extraction, color histogram

中图分类号: 

  • TP391.41