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