计算机应用 ›› 2013, Vol. 33 ›› Issue (06): 1674-1708.DOI: 10.3724/SP.J.1087.2013.01674

• 多媒体技术 • 上一篇    下一篇

基于颜色和基元特征的图像检索

余胜1,谢莉1,成运2   

  1. 1. 湖南人文科技学院 物理与信息工程系,湖南 娄底 417000
    2. 湖南人文科技学院 通信与控制工程系,湖南 娄底 417000
  • 收稿日期:2012-11-27 修回日期:2013-01-12 出版日期:2013-06-01 发布日期:2013-06-05
  • 通讯作者: 余胜
  • 作者简介:余胜(1982-),男,湖南娄底人,讲师,硕士,主要研究方向:图像处理、模式识别;谢莉(1982-),女,湖南娄底人,讲师, 硕士,主要研究方向:图像处理;成运(1966-),男,湖南娄底人,教授,博士,主要研究方向:视频及图像处理。
  • 基金资助:

    湖南省自然科学基金资助项目(12JJ2040);湖南省科技计划项目(2011GK3172);湖南省科技厅科研条件创新项目(2010TT2055);湖南省重点建设学科资助项目

Image retrieval based on color and motif characteristics

YU Sheng1,XIE Li1,CHENG Yun2   

  1. 1. Department of Physics and Information Engineering, Hunan University of Humanities, Science and Technology, Loudi Hunan 417000, China
    2. Department of Communication and Control Engineering, Hunan University of Humanities, Science and Technology, Loudi Hunan 417000, China
  • Received:2012-11-27 Revised:2013-01-12 Online:2013-06-05 Published:2013-06-01
  • Contact: YU Sheng

摘要: 为了有效地提高图像检索性能,提出一种基于基元特征和颜色特征相结合的图像检索方法。检测彩色图像的边缘梯度,对其进行变换获得基元图像。以基元图像的重心为基准点计算各点到重心的距离,求得基元重心距离直方图。对基元图像中的每一个基元在4个不同方向投影,求得基元投影直方图。将彩色图像在RGB空间量化到64色颜色空间,得到彩色图像的颜色直方图。利用以上3个直方图描述图像特征,并用于图像检索。实验结果表明,该算法的查全率和查准率均有较大提高。

关键词: 重心距离直方图, 基元投影直方图, 颜色直方图, 基元图像

Abstract: In order to improve image retrieval performance, this paper proposed a new image retrieval algorithm based on motif and color features. The color image edge gradient was detected, and by means of edge gradient image transform, a motif image was obtained. Adopting the gravity center of motif image as the datum point, the distances of all points were calculated to the datum point to get the motif center distance histogram. The all motifs of the motif image were projected in four different directions to get motif projective histogram. Color image was uniformly quantized into 64-color space from RGB space to obtain the color histogram. The above three histograms described image features for image retrieval. The experimental results show that the algorithm has high precision and recall.

Key words: motif center distance histogram, motif projective histogram, color histogram, motif image

中图分类号: