Authors:
Sérgio Sousa Filho
and
Franklin César Flores
Affiliation:
Department of Informatics, State University of Maringá, Maringá, Paraná and Brazil
Keyword(s):
Color Gradient, Attribute Filter, Image Segmentation, Color Harmonization.
Related
Ontology
Subjects/Areas/Topics:
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Segmentation and Grouping
Abstract:
Attribute openings and thinnings are morphological connected operators that remove structures from images according to a given criterion. These operators were successfully extended from binary to grayscale images, but such extension to color images is not straightforward. Color attribute operators have been proposed by a combination of color gradients and thresholding decomposition. In this approach, not only structural criteria may be applied, but also criteria based on color features and statistics. This work proposes, in a segmentation framework, a criterion based on color histogram divergence from a harmonic model. This criterion permits a segmentation in maximal harmonic regions. An application indicated that the harmonic segmentation permitted a hue correction that would not cause false colors to appear in regions already harmonic.