Hybrid human-machine binary morphological operator design

Junior Barrera; Edward R. Dougherty; Marcel Brun

doi:10.1117/12.341082

5 March 1999 Hybrid human-machine binary morphological operator design

Junior Barrera, Edward R. Dougherty, Marcel Brun

Proceedings Volume 3646, Nonlinear Image Processing X; (1999) https://doi.org/10.1117/12.341082
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

A basic paradigm in Mathematical Morphology is the construction of set operators by concatenations of dilations and erosions via the operations of composition, union, intersection and complementation. Since its introduction, in the sixties by Matheron and Serra, this paradigm has been applied on Image Analysis for designing set operators, that were called morphological operators. Classically morphological operators are constructed based on the experience and intuition of human beings. Recently, an approach for the automatic design of morphological operators, based on statistical optimization from the observation of collections of image pairs, was proposed. The two approaches have drawbacks: usually, the first approach is slow and depends on an expert in Mathematical Morphology, while the second requires large amounts of observed data. This paper proposes a symbiosis between the human and the statistical design approaches. The idea is that the design procedure be composed of simplified forms of both. Thus, avoiding difficulties that arise when applying each one independently

Citation Download Citation

Junior Barrera, Edward R. Dougherty, and Marcel Brun "Hybrid human-machine binary morphological operator design", Proc. SPIE 3646, Nonlinear Image Processing X, (5 March 1999); https://doi.org/10.1117/12.341082

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