期刊文献+

基于分块主色调和纹理特征的彩色图像检索 被引量:1

Image Retrieval based on Main Color and Texture Feature of Each Block
下载PDF
导出
摘要 提出一种基于分块主色调和纹理特征的彩色图像检索方法。该方法首先提取占彩色图像比重较大的前几种主色调,根据主色调将图像划分为不同分块,并以主色调作为各分块图像的颜色特征。然后,采用灰度共生矩阵算法,提取各分块的纹理特征。综合考虑各分块图像的颜色特征和纹理特征,从图像数据库中检索相似图像。实验结果表明,该方法具有较高的检索效率。 A new image retrieval algorithm based on the main color and texture of image blocks was presented. Firstly, the main kinds of color of each image were extracted as the image' s color feature. Then images were partitioned into sub _ images. Secondly, the texture of each block was extracted by gray symbiotic matrix algorithm as the image' s texture feature. Color feature and texture feature were considered to retrieve similar images. Experiment results show that the new algorithm is more effective in image retrieval.
出处 《电脑开发与应用》 2010年第2期15-16,19,共3页 Computer Development & Applications
关键词 图像检索 主色调 灰度共生矩阵 特征提取 image retrieval, main color, gray symbiotic matrix, feature extraction
  • 相关文献

参考文献9

  • 1Choe W , Ersoy O K , Bina M . Neural Network Schemes for Detecting Rare Events in Human Genomic DNA [J]. Bioinformatics, 2000, 16 (12) :1 062-1 072.
  • 2Kubat M,Holte B C,Matwin S. Machine Learine for the Detection of Spills in Satellite Radar Images [J]. Machine Learning, 1998(30): 195-215.
  • 3Haralick R M. Statistical and Structural Approaches to Texture [J]. Proceeding of IEEE, 1975,67 (5) : 786- 804.
  • 4Vapnik V. The Nature of Statistical Learning Theory [M]. New York: Springer-Verlag, 1995.
  • 5赵景秀,李宪玲.一种全局主色和局部主色相结合的图像检索方法[J].计算技术与自动化,2009,28(2):92-94. 被引量:2
  • 6孙君顶,毋小省.基于分块主色和形状特征的彩色图像检索[J].光电工程,2006,33(12):85-90. 被引量:9
  • 7边肇祺 张学工.模式识别[M].北京:清华大学出版社,2002..
  • 8Chang E Y,Coh K S,Sychar Get al. CBSA :Contentbased Soft Annotation for Multimodal Image Retrieval using Bayes Point Machines [J]. IEEE Trans Cir Syst Vid Tech,2003,13(1) :26-38.
  • 9梁风梅,赵敬.基于USB2.0的高速实时图像采集系统[J].电脑开发与应用,2009,22(6):26-27. 被引量:4

二级参考文献22

共引文献93

同被引文献5

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部