Artificial color vision: a preliminary study

J. Fu; H. John Caulfield; S. R. Pulusani

doi:10.1117/1.1760081

1 July 2004 Artificial color vision: a preliminary study

J. Fu, H. John Caulfield, S. R. Pulusani

Author Affiliations +

Journal of Electronic Imaging, Vol. 13, Issue 3, (July 2004). https://doi.org/10.1117/1.1760081

Abstract

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) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

J. Fu, H. John Caulfield, and S. R. Pulusani "Artificial color vision: a preliminary study," Journal of Electronic Imaging 13(3), (1 July 2004). https://doi.org/10.1117/1.1760081

Published: 1 July 2004

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available