Reference TypeConference Proceedings
Citation KeyRittnerFlorLotu:2007:TeMoGr
Author1 Rittner, Leticia
2 Flores, Franklin
3 Lotufo, Roberto
Affiliation1 Faculdade de Engenharia Elétrica e de Computação - UNICAMP
2 Faculdade de Engenharia Elétrica e de Computação - UNICAMP
3 Faculdade de Engenharia Elétrica e de Computação - UNICAMP
TitleNew tensorial representation of color images: tensorial morphological gradient applied to color image segmentation
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
Keywordscolor image segmentation, color gradient, watershed transform.
AbstractThis 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 overlaid 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.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size829 KiB
Number of Files1
Target Filerittner-tensor.pdf
Last Update2007: administrator
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