|Brief review of invariant texture analysis methods|
|Zhang, JG; Tan, TN
|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
Model Based Methods
|WOS标题词||Science & Technology
|关键词[WOS]||CIRCULAR HARMONIC EXPANSION
; HIDDEN MARKOV MODEL
; OBJECT RECOGNITION
; ZERNIKE MOMENTS
; GABOR FILTERS
|WOS类目||Computer Science, Artificial Intelligence
; Engineering, Electrical & Electronic
|作者单位||Chinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China|
Zhang, JG,Tan, TN. Brief review of invariant texture analysis methods[J]. PATTERN RECOGNITION,2002,35(3):735-747.
Zhang, JG,&Tan, TN.(2002).Brief review of invariant texture analysis methods.PATTERN RECOGNITION,35(3),735-747.
Zhang, JG,et al."Brief review of invariant texture analysis methods".PATTERN RECOGNITION 35.3(2002):735-747.