Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/84890

TitleCombination of color-based segmentation, Markov random fields and multilayer perceptron
Author(s)Vieira, Pedro Miguel
Freitas, Nuno Renato
Rolanda, Carla
Lima, C. S.
Issue date2021
PublisherSpringer, Cham
CitationVieira, P. M., Freitas, N. R., Rolanda, C., & Lima, C. S. (2021). Combination of Color-Based Segmentation, Markov Random Fields and Multilayer Perceptron. Computer-Aided Analysis of Gastrointestinal Videos. Springer International Publishing. http://doi.org/10.1007/978-3-030-64340-9_5
Abstract(s)Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions within the intestinal tissue. Since the differences found in the color of the lesions, when compared with other lesions and the normal tissue, it was developed a method based of the probability segmentation of pixels, with a Markov Random Field property to improve the neighborhood of the lesion. This was done with the CIELab color space, since it was found that has high efficiency in differentiating colors in an image.
TypeBook part
DescriptionFirst Online: 10 July 2021
URIhttps://hdl.handle.net/1822/84890
ISBN978-3-030-64339-3
e-ISBN978-3-030-64340-9
DOI10.1007/978-3-030-64340-9_5
Publisher versionhttp://dx.doi.org/10.1007/978-3-030-64340-9_5
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ICVS - Livros e capítulos de Livros / Books and book chapters
CMEMS - Livros e capítulos de livros/Books and book chapters

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