Combination of Color-Based Segmentation, Markov Random Fields and Multilayer Perceptron
| Autor: | Pedro M. Vieira, Nuno R. Freitas, Carla Rolanda, Carlos Santo Lima |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Markov random field
Random field Pixel Markov chain Computer science Property (programming) business.industry Pattern recognition 02 engineering and technology Color space 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Multilayer perceptron 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Segmentation Artificial intelligence business |
| Zdroj: | Computer-Aided Analysis of Gastrointestinal Videos ISBN: 9783030643393 |
| DOI: | 10.1007/978-3-030-64340-9_5 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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