Gray-scale image processing algorithms using finite-state machine concepts

Frederick M. Waltz; John W. V. Miller

doi:10.1117/1.1329334

1 January 2001 Gray-scale image processing algorithms using finite-state machine concepts

Journal of Electronic Imaging, Vol. 10, Issue 1, (January 2001). https://doi.org/10.1117/1.1329334

The early work on separated-kernel image processing using finite state machines (SKIPSM) concentrated mainly on binary processing which provided a fast means to implement binary morphology with very large structuring elements in a single pass using relatively small lookup tables. The basic concept can be extended to certain gray-scale processing techniques with a useful improvement in processing speed. Gray-scale SKIPSM algorithms present more of a challenge because the extremely large number of states that exist make the use of the lookup tables for the direct implementation of finite state machines impractical. However, as will be demonstrated, it is still possible to realize significant speed advantages with SKIPSM-implemented gray-scale processing using appropriate coding techniques. This paper describes two such techniques, grayscale morphology and Gaussian low-pass filtering.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Frederick M. Waltz and John W. V. Miller "Gray-scale image processing algorithms using finite-state machine concepts," Journal of Electronic Imaging 10(1), (1 January 2001). https://doi.org/10.1117/1.1329334

Published: 1 January 2001

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