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Texture classification based on the fractal performance of the moment feature images

  • Guitao Cao*
  • , Pengfei Shi
  • , Bing Hu
  • *此作品的通讯作者
  • Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Texture classification plays an important role in identifying objects. The fractal properties based on moment feature images for texture classification are investigated in this paper. The two-order moments of the image in small windows are used as feature images whose fractal dimensions are then computed and employed to classify the textures using support vector machines (SVMs). Experiments on several Brodatz nature images and four in-vivo Bmode ultrasound liver images demonstrate the effectiveness of the proposed algorithm.

源语言英语
主期刊名Image Analysis and Recognition - Second International Conference, ICIAR 2005, Proceedings
出版商Springer Verlag
762-769
页数8
ISBN(印刷版)3540290699, 9783540290698
DOI
出版状态已出版 - 2005
已对外发布
活动2nd International Conference on Image Analysis and Recognition, ICIAR 2005 - Toronto, 加拿大
期限: 28 9月 200530 9月 2005

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3656 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议2nd International Conference on Image Analysis and Recognition, ICIAR 2005
国家/地区加拿大
Toronto
时期28/09/0530/09/05

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