Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images

Ian R. Joughin; Robert M. Haralick; Edward R. Dougherty

doi:10.1117/12.152358

1 October 1993 Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images

Ian R. Joughin, Robert M. Haralick, Edward R. Dougherty

Author Affiliations +

Journal of Electronic Imaging, Vol. 2, Issue 4, (October 1993). https://doi.org/10.1117/12.152358

Abstract

Simple optimization procedures are used to obtain suboptimal filters based on the Matheron expansion for binary images corrupted by subtractive noise. The Matheron expansion allows us to represent all morphological filters as either a union of erosions or an intersection of dilations. We perform a search over a subset of the filters represented by the union-of-erosions version of the Matheron expansion. We present results for a set of simple binary images with regular borders and a more complex set with very irregular borders. Results are compared against results for binary closings.

Citation Download Citation

Ian R. Joughin, Robert M. Haralick, and Edward R. Dougherty "Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images," Journal of Electronic Imaging 2(4), (1 October 1993). https://doi.org/10.1117/12.152358

Published: 1 October 1993

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