Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/326709
Type: Artigo
Title: Mathematical Morphology On The Spherical Cielab Quantale With An Application In Color Image Boundary Detection
Author: Valle
Marcos Eduardo; Valente
Raul Ambrozio
Abstract: Mathematical morphology is a theory with applications in image processing and analysis. This paper presents a quantale-based approach to color morphology based on the CIELab color space in spherical coordinates. The novel morphological operations take into account the perceptual difference between color elements by using a distance-based ordering scheme. Furthermore, the novel approach allows for the use of non-flat structuring elements. An illustrative example reveals that non-flat dilations and erosions may preserve more features of a color image than their corresponding flat operations. Furthermore, the novel non-flat morphological operators yielded promising results on experiments concerning the detection of the boundaries of objects on color images.
Subject: Mathematical Morphology
Complete Lattice
Quantale
Color Image Processing And Analysis
Boundary Detection
Editor: Springer
Dordrecht
Rights: fechado
Identifier DOI: 10.1007/s10851-016-0674-4
Address: https://link.springer.com/article/10.1007/s10851-016-0674-4
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

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