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Brief review of invariant texture analysis methods
Zhang, JG; Tan, TN
2002-03-01
发表期刊PATTERN RECOGNITION
卷号35期号:3页码:735-747
文章类型Review
摘要This paper considers invariant texture analysis. Texture analysis approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classified into three categories: statistical methods, model based methods, and Structural methods. The importance of invariant texture analysis is presented first. Each approach is reviewed according to its classification, and its merits and drawbacks are outlined. The focus of possible future work is also suggested. (C) 2001 Pattern Recognition Society, Published by Elsevier Science Ltd. All rights reserved.
关键词Invariant Texture Analysis Statistical Methods Model Based Methods Structural Methods
WOS标题词Science & Technology ; Technology
关键词[WOS]CIRCULAR HARMONIC EXPANSION ; HIDDEN MARKOV MODEL ; PATTERN-RECOGNITION ; OBJECT RECOGNITION ; ZERNIKE MOMENTS ; GABOR FILTERS ; CLASSIFICATION ; SEGMENTATION ; ROTATION ; IMAGE
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000173025200017
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9855
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China
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Zhang, JG,Tan, TN. Brief review of invariant texture analysis methods[J]. PATTERN RECOGNITION,2002,35(3):735-747.
APA Zhang, JG,&Tan, TN.(2002).Brief review of invariant texture analysis methods.PATTERN RECOGNITION,35(3),735-747.
MLA Zhang, JG,et al."Brief review of invariant texture analysis methods".PATTERN RECOGNITION 35.3(2002):735-747.
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