Title :
Chromatic measures for color texture description and analysis
Author :
Paschos, George ; Valavanis, Kimon P.
Author_Institution :
Robotics & Autom. Lab., CACS & A-CIM Center, Lafayette, LA, USA
Abstract :
Texture has been widely accepted as a feature of primary importance in computer vision. However, the majority of the research has focused on methods applied to grey-level images, where only the luminance component of the input signal is utilized. A method for describing the chromatic aspects of textures is proposed, that can be used for scene segmentation as well as classification. Experiments with synthesized and natural images justify the use of chromaticity-based measures
Keywords :
computer vision; image segmentation; image texture; chromatic measures; color texture analysis; color texture description; computer vision; grey-level images; luminance; scene segmentation; Computer vision; Image color analysis; Image segmentation; Image texture analysis; Laboratories; Layout; Proposals; Robot vision systems; Robotics and automation; Signal synthesis;
Conference_Titel :
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-2722-5
DOI :
10.1109/ISIC.1995.525077
