Contrast equalization methods for layered-sensing systems

Richard L. Van Hook; Jeffery Layne; Andrew S. Kondrath

doi:10.1117/12.851511

15 April 2010 Contrast equalization methods for layered-sensing systems

Richard L. Van Hook, Jeffery Layne, Andrew S. Kondrath

Proceedings Volume 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV; 77040Q (2010) https://doi.org/10.1117/12.851511
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Layered sensing is a relatively new construct in the repertoire of the US Air Force. Under the layered sensing paradigm, an area is surveyed by a multitude of sensors at varying altitudes, and operating across many modalities. One of the recent pushes is to incorporate multi-sensor systems and create from them a single image. However, if the sensor parameters are not properly adjusted, the contrast amongst the images from camera to camera will vary greatly. This can create issues when performing tracking and analysis work. The contribution of this paper is to explore and provide an evaluation of various techniques for histogram equalization of Electro-Optical (EO) video sequences whose views are centered on a city. In this paper, the performance of several methods on histogram equalization are evaluated under the layered sensing construction.

Citation Download Citation

Richard L. Van Hook, Jeffery Layne, and Andrew S. Kondrath "Contrast equalization methods for layered-sensing systems", Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040Q (15 April 2010); https://doi.org/10.1117/12.851511

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