Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104263
Type: Artigo de evento
Title: New Tensorial Representation Of Color Images: Tensorial Morphological Gradient Applied To Color Image Segmentation
Author: Rittner L.
Flores F.
Lotufo R.
Abstract: This paper proposes a new Tensorial Representation of HSI color images, where each pixel is a 2 x 2 second order tensor, that can be represented by an ellipse. A proposed tensorial morphological gradient (TMG) is defined as the maximum dissimilarity over the neighborhood determined by a structuring element, and is used in the watershed segmentation framework. Many tensor dissimilarity functions are tested and other color gradients are compared. The comparison uses a new methodology for qualitative evaluation of color image segmentation by watershed, where the watershed lines of the n most significant regions are over-laid on the original image for visual comparison. Experiments show that the TMG using Frobenius norm dissimilarity function presents superior segmentation results, in comparison to other tested gradients. © 2007 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI.2007.27
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-47749141465&partnerID=40&md5=0d9c5e20ce93cf18b615cd1122cced59
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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