Development of morphological operators for real‐time applications

Abstract

Purpose

Classically, the mathematical morphology operators (i.e. erosion, dilation and its combinations) have not been implemented when working in real‐time constraints, as its computation time is often too high for this kind of applications. There are currently some approaches in order to solve this problem. The purpose of this paper is to present an alternative for this classical operators so as to speed up effectively their running time.

Design/methodology/approach

The paper shows the algorithm, calculate the computational complexity and finally, implement the fast operators to compare the increasing velocity of this choice using different kind of gray‐scale images.

Findings

The experimental results verify the theoretical results, as is pointed out throughout this work.

Originality/value

Highlights two techniques for image processing using mathematical morphology.

Citation

Pujol, F.A., García Chamizo, J.M., Pujol, M., Llorens, F. and Rizo, R. (2006), "Development of morphological operators for real‐time applications", Kybernetes, Vol. 35 No. 10, pp. 1646-1652. https://doi.org/10.1108/03684920610688630