DocumentCode :
2947514
Title :
Texture classification based on succolarity
Author :
Cojocaru, J.I.R. ; Popescu, Dan ; Nicolae, I.E.
Author_Institution :
Fac. of Autom. Control & Comput. Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2013
fDate :
26-28 Nov. 2013
Firstpage :
498
Lastpage :
501
Abstract :
Texture aspects are encountered in most domains that use image processing. Despite the decades of research on texture image information, texture characterization remains a competition for the scientific community because a rigorous mathematical definition of texture was not yet decided. Therefore, texture analysis and classification needs depth research and continuous improvement. Beside common fractal properties, this paper uses a modern fractal property which characterizes different texture descriptors for image analysis in order to provide additional information and to extract new texture features.
Keywords :
image texture; image analysis; image processing; mathematical definition; succolarity; texture analysis; texture characterization; texture classification; texture descriptors; texture image information; Algorithm design and analysis; Equations; Fluids; Fractals; Image analysis; Vectors; Fractal measure; image processing; succolarity; texture image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Forum (TELFOR), 2013 21st
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-1419-7
Type :
conf
DOI :
10.1109/TELFOR.2013.6716275
Filename :
6716275
Link To Document :
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