DocumentCode
3392031
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
fYear
1995
fDate
27-29 Aug 1995
Firstpage
319
Lastpage
325
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location
Monterey, CA
ISSN
2158-9860
Print_ISBN
0-7803-2722-5
Type
conf
DOI
10.1109/ISIC.1995.525077
Filename
525077
Link To Document