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- Q17144601 subject Q15263535.
- Q17144601 abstract "The Mumford–Shah functional is a functional that is used to establish an optimality criterion for segmenting an image into sub-regions. An image is modeled as a piecewise-smooth function. The functional penalizes the distance between the model and the input image, the lack of smoothness of the model within the sub-regions, and the length of the boundaries of the sub-regions. By minimizing the functional one may compute the best image segmentation. The functional was proposed by mathematicians David Mumford and Jayant Shah in 1989.".
- Q17144601 thumbnail Mumford_shah-example.png?width=300.
- Q17144601 wikiPageWikiLink Q1070689.
- Q17144601 wikiPageWikiLink Q1199743.
- Q17144601 wikiPageWikiLink Q1477114.
- Q17144601 wikiPageWikiLink Q15263535.
- Q17144601 wikiPageWikiLink Q17004137.
- Q17144601 wikiPageWikiLink Q334021.
- Q17144601 wikiPageWikiLink Q5154224.
- Q17144601 wikiPageWikiLink Q565186.
- Q17144601 wikiPageWikiLink Q579600.
- Q17144601 wikiPageWikiLink Q80091.
- Q17144601 wikiPageWikiLink Q829653.
- Q17144601 wikiPageWikiLink Q967417.
- Q17144601 comment "The Mumford–Shah functional is a functional that is used to establish an optimality criterion for segmenting an image into sub-regions. An image is modeled as a piecewise-smooth function. The functional penalizes the distance between the model and the input image, the lack of smoothness of the model within the sub-regions, and the length of the boundaries of the sub-regions. By minimizing the functional one may compute the best image segmentation.".
- Q17144601 label "Mumford–Shah functional".
- Q17144601 depiction Mumford_shah-example.png.