Brief review of invariant texture analysis methods


Autoria(s): Zhang, Jianguo; Tan, T.
Data(s)

01/03/2002

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/brief-review-of-invariant-texture-analysis-methods(f58b4436-94c9-4c99-a827-7ebeb94830e1).html

http://dx.doi.org/10.1016/S0031-3203(01)00074-7

http://www.scopus.com/inward/record.url?scp=0035294772&partnerID=8YFLogxK

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Zhang , J & Tan , T 2002 , ' Brief review of invariant texture analysis methods ' Pattern Recognition , vol 35 (3) , no. 3 , pp. 735-747 . DOI: 10.1016/S0031-3203(01)00074-7

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1707 #Computer Vision and Pattern Recognition #/dk/atira/pure/subjectarea/asjc/1700/1711 #Signal Processing #/dk/atira/pure/subjectarea/asjc/2200/2208 #Electrical and Electronic Engineering
Tipo

article