The weighted gradient: a color image gradient applied to morphological segmentation

AUTOR(ES)

Flores, Franklin César, Polidório, Airton Marco, Lotufo, Roberto de Alencar

FONTE

Journal of the Brazilian Computer Society

DATA DE PUBLICAÇÃO

2006-04

RESUMO

This paper proposes a method for color gradient computation applied to morphological segmentation of color images. The weighted gradient (with weights estimated automatically), proposed in this paper, applied in conjunction with the watershed from markers technique, provides excelent segmentation results, according to a subjective visual criterion. The weighted gradient is computed by linear combination of the gradients from each band of an image under the IHS color space model. The weights to each gradient are estimated by a systematic method that computes the similarity between the image to compute the gradient and an "ideal image", whose histogram has an uniform distribution. Several experiments were done in order to compare the segmentation results provided by the weighted gradient to the results provided by other color space metrics, also according to a subjective criterion, and such comparison is present in this paper.

Documentos Relacionados

• Fast two-step segmentation of natural color scenes using hierarchical region-growing and a color-gradient network
• Formation of the bicoid morphogen gradient: an mRNA gradient dictates the protein gradient
• Response of mangrove plant species to a saline gradient: Implications for ecological restoration
• Métodos adaptativos de segmentação aplicados à recuperação de imagens por conteúdo
• Seleção de características: abordagem via redes neurais aplicada à segmentação de imagens