DocumentCode
310439
Title
Fast colour image segmentation using a pre-clustered chromaticity-plane
Author
Scheering, Christian ; Knoll, Alois
Author_Institution
Bielefeld Univ., Germany
Volume
4
fYear
1997
fDate
21-24 Apr 1997
Firstpage
3145
Abstract
We present an efficient method for segmenting colour-images, which may be utilised in several robotic vision tasks. It categorises pixels according to their perceptual colour by exploiting the chromaticity contained in the signal of a standard colour camera as an index into a pre-clustered chromaticity plane. A technique called perceptual colour grouping is introduced to prevent oversegmentation. Experimental data demonstrate the performance of the proposed approach; computation time is reduced by a factor of 8...30 over previously known methods
Keywords
cameras; computational complexity; image colour analysis; image segmentation; robot vision; computation time; experimental data; fast colour image segmentation; perceptual colour grouping; performance; pixels; preclustered chromaticity plane; robotic vision tasks; standard colour camera; Cameras; Humans; Image segmentation; Pixel; Prototypes; Quantization; Robot vision systems; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.595459
Filename
595459
Link To Document