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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Mathematical Morphology on the Spherical CIELab Quantale with an Application in Color Image Boundary Detection

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Author(s):
Valle, Marcos Eduardo ; Valente, Raul Ambrozio
Total Authors: 2
Document type: Journal article
Source: Journal of Mathematical Imaging and Vision; v. 57, n. 2, p. 183-201, FEB 2017.
Web of Science Citations: 4
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. (AU)

FAPESP's process: 13/12310-4 - Some generalizations of the recurrent correlation associative memories
Grantee:Marcos Eduardo Ribeiro Do Valle Mesquita
Support Opportunities: Regular Research Grants