| Full text | |
| 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 |