Browsing by Keyword "Border detection"
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Item Automatic fitting of feature points for border detection of skin lesions in medical images with bat algorithm(Springer Verlag, 2018) Gálvez, Akemi; Fister, Iztok; Fister, Iztok; Osaba, Eneko; Del Ser, Javier; Iglesias, Andrés; Quantum; IAThis paper addresses the problem of automatic fitting of feature points for border detection of skin lesions. This problem is an important task in segmentation of dermoscopy images for semi-automatic early diagnosis of melanoma and other skin lesions. Given a set of feature points selected by a dermatologist, we apply a powerful nature-inspired metaheuristic optimization method called bat algorithm to obtain the free-form parametric Bézier curve that fits the points better in the least-squares sense. Our experimental results on two examples of skin lesions show that the method performs quite well and might be applied to automatic fitting of feature points for border detection in medical images.Item Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm(Association for Computing Machinery, Inc, 2019-07-13) Gálvez, Akemi; Fister, Iztok; Fister, Iztok; Del Ser, Javier; Osaba, Eneko; Iglesias, Andrés; QuantumBorder detection of melanoma and other skin lesions from images is an important step in the medical image processing pipeline. Although this task is typically carried out manually by the dermatologists, some recent papers have applied evolutionary computation techniques to automate this process. However, these works are only focused on the polynomial case, ignoring the more powerful (but also more difficult) case of rational curves. In this paper, we address this problem with rational Bézier curves by applying the bat algorithm, a popular bio-inspired swarm intelligence technique for optimization. Experimental results on two examples of medical images of melanomas show that this method is promising, as it outperforms the polynomial approach and can be applied to medical images without further pre/post-processing.