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Proceedings Paper

Morphological nonincreasing filters for image segmentation and enhancement
Author(s): Ivan R. Terol-Villalobos
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Paper Abstract

In this paper we study a class of non-increasing filters and related morphological operations in order to segment and enhance images. Both applications, image segmentation and image enhancement, are related by the fact that contrast operators are applied. This is a main remark that will be used to ap;y the filters in order to segment and enhance images. We will show that a gradient criterion weighted by an intensity one allows us to reduce the sensitivity of these filters. We present some results by means of a contrast-oriented segmentation. By combining the filters and using a geodesic application, we extract flat zones in order to segment an image.

Paper Details

Date Published: 29 October 1996
PDF: 10 pages
Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); doi: 10.1117/12.256313
Show Author Affiliations
Ivan R. Terol-Villalobos, Ctr. de Investigacion y Desarrollo Tecnologico en Electroquimica (Mexico)


Published in SPIE Proceedings Vol. 2904:
Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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