Authors:
Franklin César Flores
1
;
Leonardo Bespalhuk Facci
1
and
Roberto de Alencar Lotufo
2
Affiliations:
1
State University of Maringá, Brazil
;
2
School of Electrical and Computer Engineering, State University of Campinas, Brazil
Keyword(s):
Morphological processing, histogram classification, dynamics, watershed.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Filtering
;
Image Formation and Preprocessing
;
Mathematical Morphology
Abstract:
In a previous paper, it was proposed a method applied to image simplification in terms of graylevel and flat zone reduction, by histogram classification via morphological processing. It this method, it is possible to reduce the number of graylevels of an image to n graylevels by selecting n regional maxima in the processed histogram and discarding the remaining ones, in other to classify the histogram via application of watershed operator. In the previous paper, it was proposed the choice of the n highest regional maxima. By far, it is not the best criterion to choose the regional maxima and other criteria had been were tested in order to obtain a better histogram classification. In this paper we propose the selection of the regional maxima via application of dynamics, a measurement of contrast usually applied to find markers to morphological segmentation.