Morphological Convolution Operations For Image Processing

M. M. Gupta; B. De Baets

doi:10.1117/12.970127

1 November 1989 Morphological Convolution Operations For Image Processing

M. M. Gupta, B. De Baets

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970127
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

Mathematical morphological operations are an important class of operations in image processing, development of machine vision systems and other similar applications. In this paper we present a general framework for morphological convolution operations. In the conventional convolution integral (summation) there are several basic mathematical steps (such as shifting, multiplication and integration) which are used to convolve the input signals or images with the ,weighting function (kernel) of a dynamic system. In this study we generalize the operational steps to include the broader meaning of multiplication operation by confluence operation, and integral operation by aggregation operation. Some of these operations are similar to that found in the biological vision system both at the retinal and visual cortex levels. This generalization leads to both deterministic and fuzzy types of morphological operations.

Citation Download Citation

M. M. Gupta and B. De Baets "Morphological Convolution Operations For Image Processing", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970127

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