Novel Method for Color Textures Features Extraction Based on GLCM

Novel Method for Color Textures Features Extraction Based on GLCM

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. I...

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Bibliographic Details
Published in:Radioengineering Vol. 16; no. 4; pp. 64 - 67
Main Authors: R. Hudec, M. Benco
Format: Journal Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 01-12-2007
Subjects:
color textures
features extraction
Gabor filters
GLCM
image classification
image retrieval
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Summary: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.
ISSN:1210-2512