This paper presents a new texture feature set based on the statistics of geometrical attributes of connected regions in a stack of binary images obtained from a texture image. Systematic evaluation using all the Brodatz textures shows that the new set outperforms the well-known statistical gray level dependence matrix, the recently proposed statistical feature matrix, and Liu's features.<>
Texture classification using statistical geometrical features
Proceedings of 1st International Conference on Image Processing ; 3 ; 446-450 vol.3
01.01.1994
439131 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Texture Classification using Statistical Geometrical Features
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