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

Autor(es)

Valle, Marcos Eduardo ; Valente, Raul Ambrozio

• Tipo de documento: Artigo Científico
• Fonte: Journal of Mathematical Imaging and Vision; v. 57, n. 2, p. 183-201, FEB 2017.
• Citações Web of Science: 4

Resumo

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)

• Processo FAPESP: 13/12310-4 - Algumas generalizações das memórias associativas recorrentes por correlação
• Beneficiário: Marcos Eduardo Ribeiro Do Valle Mesquita
• Modalidade de apoio: Auxílio à Pesquisa - Regular