Adaptive Image Processing Techniques

James S.J. Lee; Paul V. Budak; Charlotte R. Lin; Robert M. Haralick

doi:10.1117/12.942745

19 February 1988 Adaptive Image Processing Techniques

James S.J. Lee, Paul V. Budak, Charlotte R. Lin, Robert M. Haralick

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942745
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

Adaptive image processing schemes can be classified as open-loop, input sensing, invariant-expectation, and model reference systems. Two major adaptive image processing system mechanisms, processing status measurement and parameter adjustment, are described and a multi-resolution approach is developed. The multi-resolution schemes allow efficient adaptive image processing implementation, by enabling coarse-to-fine parameter (operation flow) adjustment in both image and parameter domains. The adaptability and robustness of these techniques is demonstrated on morphologically segmented objects from actual laser radar (range) data.

Citation Download Citation

James S.J. Lee, Paul V. Budak, Charlotte R. Lin, and Robert M. Haralick "Adaptive Image Processing Techniques", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942745

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