Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation
| Autor: | Pedro M. M. Pereira, Luis M. N. Tavora, Rui Fonseca-Pinto, Sergio M. M. de Faria, Pedro Assuncao, Rui Pedro Paiva |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Image segmentation Thresholding 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Discriminative model Histogram Digital image processing 0202 electrical engineering electronic engineering information engineering Medical imaging 020201 artificial intelligence & image processing Segmentation Artificial intelligence Cluster analysis business |
| Zdroj: | BIOIMAGING |
| Popis: | Image segmentation is a key stage in medical image processing algorithms and machine learning classifiers where identification of discriminative features are of utmost importance. In the case of skin lesions, most of the existing image segmentation approaches aim at minimising some error metric between computed and ground-truth regions of interest (ROI) defined by medical experts, where ROI delineation is not always considered. This paper proposes an image segmentation method for skin lesion delineation, which expands traditional histogram and clustering-based approaches to achieve the best trade-off between both. The proposed method is capable of providing accurate details of the skin lesion borders, without deviating from the coarser borders of the available ground-truth. |
| Databáze: | OpenAIRE |
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