Color pattern recognition in an image system with chromatic distortion

Zimin Zhu

doi:10.1117/12.177509

1 September 1994 Color pattern recognition in an image system with chromatic distortion

Zimin Zhu

Author Affiliations +

Optical Engineering, Vol. 33, Issue 9, (September 1994). https://doi.org/10.1117/12.177509

Abstract

Chromatic distortion is one of the main problems of color pattern recognition. I present a scheme for an image system with a TV camera as input device to reduce the effect of chromatic noise. Notation and practical data of Munsell sample chips are recorded through the keyboard and the camera used, respectively. The notation can be looked up rapidly with a neural network. The network performs the transformation from RGB to Munsell space. Another adaptive resonance theory (ART) network is responsible to the transformation from the Munsell space to any desired space. The division of the two transformations ensures high system flexibility.

Citation Download Citation

Zimin Zhu "Color pattern recognition in an image system with chromatic distortion," Optical Engineering 33(9), (1 September 1994). https://doi.org/10.1117/12.177509

Published: 1 September 1994

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