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|Type:||Artigo de evento|
|Title:||New Tensorial Representation Of Color Images: Tensorial Morphological Gradient Applied To Color Image Segmentation|
|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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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