计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (25): 186-187.DOI: 10.3778/j.issn.1002-8331.2009.25.057

• 图形、图像、模式识别 • 上一篇    下一篇

融合颜色特征与LBP的图像检索

张笃振,任世锦   

  1. 徐州师范大学 计算机科学与技术学院,江苏 徐州 221116
  • 收稿日期:2009-03-02 修回日期:2009-04-20 出版日期:2009-09-01 发布日期:2009-09-01
  • 通讯作者: 张笃振

Image retrieval algorithm combined color feature with local binary pattern

ZHANG Du-zhen,REN Shi-jin   

  1. School of Computer Science and Technology,Xuzhou Normal University,Xuzhou,Jiangsu 221116,China
  • Received:2009-03-02 Revised:2009-04-20 Online:2009-09-01 Published:2009-09-01
  • Contact: ZHANG Du-zhen

摘要: 随着图像数据量的不断丰富和人们需求的不断提高,基于内容的图像检索技术成为一个重要研究课题。研究了基于颜色相关图与LBP算法的图像检索算法,利用颜色相关图与LBP算法分别提取图像的颜色特征与纹理特征,实现了图像的检索,实验结果说明了算法的有效性。

关键词: 图像检索, 颜色自动相关图, 局部二值模式(LBP), 图像特征

Abstract: The content-based image retrieval technology is becoming an important research topic as the image information is becoming more and more rich.Two image retrieval algorithms based on color auto-correlogram and LBP(Local Binary Pattern) are presented.Color feature and texture feature are extracted using auto-correlogram and LBP respectively.The performance of precision of the algorithms are compared.And the performance of precision of the algorithm-1 with that of other articles are compared too.The experiments illustrate that the algorithm-1 is more efficient.

Key words: image retrieval, color auto-correlogram, Local Binary Pattern(LBP), image feature

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