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
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