Pseudorandom numbers: evolutionary models in image processing, biology, and nonlinear dynamic systems

Leonid P. Yaroslavsky

doi:10.1117/12.258138

11 November 1996 Pseudorandom numbers: evolutionary models in image processing, biology, and nonlinear dynamic systems

Leonid P. Yaroslavsky

Proceedings Volume 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments; (1996) https://doi.org/10.1117/12.258138
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

We show that one can treat pseudo-random generators, evolutionary models of texture images, iterative local adaptive filters for image restoration and enhancement and growth models in biology and material sciences in a unified way as special cases of dynamic systems with a nonlinear feedback.

Citation Download Citation

Leonid P. Yaroslavsky "Pseudorandom numbers: evolutionary models in image processing, biology, and nonlinear dynamic systems", Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); https://doi.org/10.1117/12.258138

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