Evaluation of color categorization for representing vehicle colors

Nan Zeng; Jill D. Crisman

doi:10.1117/12.267140

17 February 1997 Evaluation of color categorization for representing vehicle colors

Nan Zeng, Jill D. Crisman

Proceedings Volume 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS; (1997) https://doi.org/10.1117/12.267140
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

This paper evaluates the accuracy of three color categorization techniques in describing vehicles colors for a system, AutoColor, which we are developing for Intelligent Transportation Systems. Color categorization is used to efficiently represent 24-bit color images with up to 8 bits of color information. Our inspiration for color categorization is based on the fact that humans typically use only a few color names to describe the numerous colors they perceive. Our Crayon color categorization technique uses a naming scheme for digitized colors which is roughly based on human names for colors. The fastest and most straight forward method for compacting a 24-bit representation into an 8-bit representation is to use the most significant bits (MSB) to represent the colors. In addition, we have developed an Adaptive color categorization technique which can derive a set of color categories for the current imaging conditions. In this paper, we detail the three color categorization techniques, Crayon, MSB, and Adaptive, and we evaluate their performance on representing vehicle colors in our AutoColor system.

Citation Download Citation

Nan Zeng and Jill D. Crisman "Evaluation of color categorization for representing vehicle colors", Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); https://doi.org/10.1117/12.267140

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