DocumentCode :
3206624
Title :
Controlling illumination color to enhance object discriminability
Author :
Vriesenga, Mark ; Healey, Glenn ; Peleg, Kalman ; Sklansky, Jack
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
710
Lastpage :
712
Abstract :
The authors describe how to design color illumination to improve the discriminability of objects in color images. This procedure is useful in applications where the illumination can be controlled, such as inspection tasks. From the physics of color image formation, the optimal color illumination for discriminating materials is derived using a parametrically defined set of illuminants. The authors suggest how such an approach might be extended to sets of materials and more general classes of light sources. Experiments with painted color patches and live potato plantlets are used to illustrate the usefulness of actively controlling illumination color in machine vision
Keywords :
colour; computer vision; lighting; color illumination; color image formation; illumination color; illumination control; inspection tasks; light sources; live potato plantlets; machine vision; material discrimination; object discriminability; painted color patches; Cameras; Color; Control systems; Image processing; Inspection; Kalman filters; Layout; Lighting; Machine vision; Reflectivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223194
Filename :
223194
Link To Document :
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