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 :
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