Abstract
We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/for color figures.
Cite
CITATION STYLE
APA
Brook, A., Kimmel, R., & Sochen, N. A. (2001). Geometry motivated variational segmentation for color images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2106, pp. 362–370). Springer Verlag. https://doi.org/10.1007/3-540-47778-0_34
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