Color profile function for morphological image segmentation

Marcos C. d'Ornellas; Jose Antonio T.B. da Costa; Adriane P. Dias

doi:10.1117/12.586889

17 January 2005 Color profile function for morphological image segmentation

Marcos C. d'Ornellas, Jose Antonio T.B. da Costa, Adriane P. Dias

Proceedings Volume 5667, Color Imaging X: Processing, Hardcopy, and Applications; (2005) https://doi.org/10.1117/12.586889
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Marcos C. d'Ornellas, Jose Antonio T.B. da Costa, and Adriane P. Dias "Color profile function for morphological image segmentation", Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); https://doi.org/10.1117/12.586889

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