DocumentCode :
2102178
Title :
Texture analysis based on local semicovers
Author :
Cuenca, S.A.
Author_Institution :
Dept. de Tecnologia Informatica y Computacion, Alicante Univ., Spain
fYear :
2003
fDate :
17-19 Sept. 2003
Firstpage :
588
Lastpage :
593
Abstract :
The paper presents a new efficient approach to texture analysis based on distributions of simple spatial and tonal relationships. The texture description proposed makes use of a semicover concept over binary planes derived from grey images. A measure of the local semicover tendency based on joint occurrences of elementary semicover patterns is described, and a computation simplification method is presented to reduce the computational cost. The method presents a reduced set of parameters that facilitates its optimization in different types of application. The performance of the method is evaluated by means of a comparative study, including other algorithms widely used in texture analysis. The results show a similar or superior performance to other more complex approaches.
Keywords :
image classification; image texture; optimisation; set theory; statistical distributions; binary planes; computational cost; grey images; local semicovers; optimization; semicover patterns; sets; spatial relationships; texture analysis; texture classification; tonal relationships; Algorithm design and analysis; Classification algorithms; Computational efficiency; Image analysis; Image texture analysis; Morphology; Optimization methods; Performance analysis; Pixel; Proposals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN :
0-7695-1948-2
Type :
conf
DOI :
10.1109/ICIAP.2003.1234114
Filename :
1234114
Link To Document :
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