Color Image Gradients for Morphological Segmentation: The Weighted Gradient Improved by Automatic Imposition of Weights

Authors:
Franklin Cesar Flores;Airton Marco Polidorio;Roberto de Alencar Lotufo
Affiliations:
State University of Maringá, Brazil;State University of Maringá, Brazil;State University of Campinas, Brazil
Venue:
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Year:
2004

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Abstract

In a previous paper, it were proposed some metrics to compute gradient from color images by exploiting the intuitive notion of dissimilarity among colors. The weighted gradient, one of the six methods introduced, provided the best segmentation results (following a subjective visual criterion) when applied in conjunction with the watershed from markers technique. Despite the excellent results achieved by the linear combination of the gradients from each band of the original image under the HSI color space model, the weighted gradient lacked a systematic method to give weights to each gradient. The goal of this work is to propose such systematic method, by computing the similarity between the image to compute the gradient and an "ideal image", which histogram has an uniform distribution. Some segmentation experiments were done and the automatic weighted gradient provides results as good as the manual one.