Special Section on Quality Control by Artificial Vision

Artificial color vision: a preliminary study

[+] Author Affiliations
Jian Fu

Alabama A & M University, Computer Sciences Department, Normal, Alabama 35762

H. John Caulfield

Alabama A & M University Research Institute, P.O. Box 313, Normal, Alabama 35762

Surendar R. Pulusani

Alabama A & M University, Computer Sciences Department, Normal, Alabama 35762

J. Electron. Imaging. 13(3), 553-558 (Jul 01, 2004). doi:10.1117/1.1760081
History: Received Apr. 14, 2003; Accepted Feb. 23, 2004; Online July 29, 2004
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Animals accomplish color vision by characterizing the scene in two or more spectrally overlapping bands, normalizing to minimize brightness effects, computing spectral discriminants (called hues) from the normalized readings, and attributing those hues to the scene with the brightness variations restored in the “colored image.” We explore doing the same process in forming images for camera systems. To make experimental testing simpler, we use available spectrally overlapping band cameras—“color” CCD cameras—whose bands show considerable overlap but were not chosen for the task to which we employ them. We use these bands and a very small number of samples from each class of object to form a single artificial color—“green pepper but not snow peas and not carrots.” An image of a plate of such vegetables in that artificial color shows the green pepper but not the snow peas and not the carrots. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Topics

Color vision

Citation

Jian Fu ; H. John Caulfield and Surendar R. Pulusani
"Artificial color vision: a preliminary study", J. Electron. Imaging. 13(3), 553-558 (Jul 01, 2004). ; http://dx.doi.org/10.1117/1.1760081


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