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Brief review of invariant texture analysis methods
Zhang, JG; Tan, TN
Source PublicationPATTERN RECOGNITION
2002-03-01
Volume35Issue:3Pages:735-747
SubtypeReview
AbstractThis 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.
KeywordInvariant Texture Analysis Statistical Methods Model Based Methods Structural Methods
WOS HeadingsScience & Technology ; Technology
WOS KeywordCIRCULAR HARMONIC EXPANSION ; HIDDEN MARKOV MODEL ; PATTERN-RECOGNITION ; OBJECT RECOGNITION ; ZERNIKE MOMENTS ; GABOR FILTERS ; CLASSIFICATION ; SEGMENTATION ; ROTATION ; IMAGE
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000173025200017
Citation statistics
Cited Times:255[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9855
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
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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