Fuzzy morphological filters

Edward R. Dougherty; Divyendu Sinha; Purnendu Sinha

doi:10.1117/12.131550

1 November 1992 Fuzzy morphological filters

Edward R. Dougherty, Divyendu Sinha, Purnendu Sinha

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131550
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

The theory of fuzzy mathematical morphology is well-developed, including the characterization of fuzzy Minkowski algebra and extensions of the basic Matheron representation theorems. The present paper provides a natural paradigm for the lifting of crisp-set binary filters to fuzzy filters. The paradigm is based on considering gray-scale realizations of binary images as [0,1]-valued fuzzy images and then processing them in a manner compatible with their interpretation as fuzzy binary images. Various filters are implemented in the paper: smoothing, edge detection, peak detection, and object detection.

Citation Download Citation

Edward R. Dougherty, Divyendu Sinha, and Purnendu Sinha "Fuzzy morphological filters", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131550

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