Adaptive electronic camouflage using texture synthesis

Narek Pezeshkian; Joseph D. Neff

doi:10.1117/12.920507

15 May 2012 Adaptive electronic camouflage using texture synthesis

Narek Pezeshkian, Joseph D. Neff

Proceedings Volume 8387, Unmanned Systems Technology XIV; 838707 (2012) https://doi.org/10.1117/12.920507
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Camouflaged robots and leave-behind surveillance sensors are desirable in information, surveillance and reconnaissance operations to minimize the chances of detection by the enemy. Today's camouflaging techniques involve nets and painted patterns that are fixed in color and geometry, limiting their use to specific environments; a fact illustrated by numerous changes in military uniforms designed to fit the latest operating environment. Furthermore, nets are bulky and can interfere with the operation or use of a robot or leave-behind sensor. A more effective technique is to automatically adapt surface patterns and colors to match the environment, as is done by several species in nature. This can lead to the development of new and more effective robotic behaviors in surveillance missions and stealth operations. This biologically-inspired adaptive camouflage can be achieved by a) sampling the environment with a camera, b) synthesizing a camouflage image, and c) reproducing it on color electronic paper - a thin low-power reflective display - that is part of the outer enclosure surface of the robot or device. The focus of this paper is on the work performed for the first two steps of the process. Color-camouflage-synthesis is achieved via modifications made to a gray-level texturesynthesis method that makes use of gray-level co-occurrence matrices. Statistic equality in color-proportion is achieved with the use of conditional probability constraints.

Citation Download Citation

Narek Pezeshkian and Joseph D. Neff "Adaptive electronic camouflage using texture synthesis", Proc. SPIE 8387, Unmanned Systems Technology XIV, 838707 (15 May 2012); https://doi.org/10.1117/12.920507

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