Novel Method for Color Textures Features Extraction Based on GLCM
Alternative metrics PlumXhttp://hdl.handle.net/11012/57326
MetadataShow full item record
Texture is one of most popular features for image classification and retrieval. Forasmuch as grayscale textures provide enough information to solve many tasks, the color information was not utilized. But in the recent years, many researchers have begun to take color information into consideration. In the texture analysis field, many algorithms have been enhanced to process color textures and new ones have been researched. In this paper the new method for color GLCM textures and comparing with other good known methods is presented.
KeywordsGLCM, Gabor filters, features extraction, image classification, image retrieval, color textures
Document typePeer reviewed
SourceRadioengineering. 2007, vol. 16, č. 4, s. 64-67. ISSN 1210-2512
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