DocumentCode :
629333
Title :
Segmentation of natural colour image based on colour-texture features
Author :
Shankar, T. ; Yamuna, G. ; Suman, Gaurav
Author_Institution :
Dept. of Electr. Eng., Annamalai Univ., Annamalainagar, India
fYear :
2013
fDate :
3-5 April 2013
Firstpage :
455
Lastpage :
459
Abstract :
For the favour of data partition, colour image segmentation framework is an ideal choice. This is based on colour and texture features of an image. The main objective of the proposed work consists of a new method for the extraction of colour features that assess the input image in a colour representation. To achieve this, the proposed work used the opponent characteristics of the RGB and LAB colour spaces. The texture features are computed using a gabor filter. The prime role of this work rests in the integration of the colour and texture features with the aim of identifying the homogenous regions in the image. The accuracy for extraction of colour texture was established by the proposed method.
Keywords :
Gabor filters; feature extraction; image colour analysis; image representation; image segmentation; image texture; Gabor filter; LAB colour spaces; RGB colour spaces; colour feature extraction; colour image segmentation framework; colour representation; colour-texture features; data partition; natural colour image; Algorithm design and analysis; Feature extraction; Filtering; Image color analysis; Image segmentation; Signal processing algorithms; Colour Space; Natural Image; Segmentation; Texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
Type :
conf
DOI :
10.1109/iccsp.2013.6577095
Filename :
6577095
Link To Document :
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