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Proceedings Paper

Color profile function for morphological image segmentation
Author(s): Marcos C. d'Ornellas; Jose Antonio T.B. da Costa; Adriane P. Dias
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Paper Abstract

In this paper, a new segmentation method is proposed. This method is based on the residuals of morphological opening and closing transforms with a geodesic metric. It may be considered analogous to a region growing technique. However, in contrast to using statistical local properties like in region growing approaches, the proposed method uses a pixel similarity rule based on the morphological characteristic of the connected components in the image. The proposed method is particularly well suited for the segmentation of complex image scenes such as aerial or fine-resolution images where very thin, enveloped and/or nested regions may have to be retained, and where the gradient calculation has a major drawback.

Paper Details

Date Published: 17 January 2005
PDF: 14 pages
Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); doi: 10.1117/12.586889
Show Author Affiliations
Marcos C. d'Ornellas, Univ. Federal de Santa Maria (Brazil)
Jose Antonio T.B. da Costa, Univ. Federal de Santa Maria (Brazil)
Adriane P. Dias, Univ. Federal de Santa Maria (Brazil)

Published in SPIE Proceedings Vol. 5667:
Color Imaging X: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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