期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

CBIR中基于纹理特征的检索概述 被引量：1

Retrieval based-on texture features in CBIR
下载PDF
导出
摘要 本文简要叙述了图像检索的发展和目前研究的热点。基于纹理的图像检索是进行图像检索的主要方法之一,本文主要概述的提取纹理特征的方法。在多种提取纹理特征的方法中,Gabor小波变换和纹理谱的方法更加符合人类的视觉特征。 Depict the development and the active research area of image retrieval briefly.Texture is one of the most important method of image retrieval,and this paper is mainly about this.There are many methods of extracting the features of the image,but Gabor wavelet transform method and texture spectrum method are more adaptive to the vision of human beings.This paper will discuss these two methods theoretically.
作者 刘飞 邹文辉 罗峰 罗代升
机构地区 四川大学电子信息学院图像信息研究所
出处 《中国测试技术》 CAS 2005年第2期82-84,共3页 CHINA MEASUREMENT & TESTING TECHNOLOGY
关键词 图像检索 GABOR小波 纹理 纹理谱 Image retrieval Gabor wavelet Texture Texture spectrum
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献5

  • 1万华林,Morshed U.Chowdhury,胡宏,史忠植.图像纹理特征及其在CBIR中的应用[J].计算机辅助设计与图形学学报,2003,15(2):195-199. 被引量：45
  • 2RM Haralick,K Shanmngam,et al.Texture feature for image classification[J].IEEE Transactions on System,Man,and Cybernetics,1973,23(6):768-780.
  • 3BS.Manjunath and W.Y.Ma.Texture features for browsing and retrieval of large image data[J].IEEE Transactions on Pattern Analysis and Machine Inetelligence,(Special Issue on Digital Libraries),1996,18(8):837-842.
  • 4J.G.Daugman.Uncertainty relation for resolution in space,spatial frequency[J],and orientation optimized by twodimensional visual cortical filters[J].Journal of The Optical Society of America,1985,2(7):1160-1169.
  • 5He DC,Wang L.Texture features based on texture spectrum[J].Pattern Recognition,1991,24(5):391-399.

二级参考文献11

  • 1Flichner M, et al. Query by image and video content: The QBIC system[J]. IEEE Computer, 1995, 28(9): 23～32
  • 2Pentland A P, Picard R, et al. Photobook: Content-based manipulation of image databases[J]. Journal of Computer Vision, 1996,18(3): 233～254
  • 3John R Smith, Shih-Fu Chang. VisualSEEk: A fully automated content-based image query system[A]. In:Proceedings of ACM Multimedia'96, Boston, MA, 1996. 87～98
  • 4Yong Rui, Thomal S Huang, et al. Image retrieval: Current techniques, promising directions, and open issues[OL]. http://research.microsoft.com/users/yongrui/html/publication.html, 1999
  • 5B S Manjunath, Jens-Rainer Ohm, et al. Color and texture descriptors[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11(6):703～715
  • 6Miroslaw Borber. MPEG-7 visual shape descriptors[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11(6):716～719
  • 7R M Haralick, K Shanmngam, et al. Texture feature for image classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1973,SMC-3(6):768～780
  • 8B S Manjunath, W Y Ma. Texture features for browsing and retrieval of image data[J]. IEEE Transactions on PAMI, 1996, 18(8): 837～842
  • 9He D C, Wang L. Texture features based on texture spectrum[J]. Pattern Recognition, 1991,24(5):391～399
  • 10Jia Li, James Z Wang, Gio Wiederhold. IRM: Integrated region matching for image retrieval[A]. In: Proceedings of ACM Multimedia, Los Angeles, 2000.147～156

共引文献44

同被引文献2

引证文献1

二级引证文献2

中国测试技术
2005年 第2期

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