Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Robust Parametric and Semi-Parametric Spot Fitting for Spot Array Images
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Precise acquisition and unsupervised segmentation of multi-spectral images
Computer Vision and Image Understanding
Contrast enhancement in dermoscopy images by maximizing a histogram bimodality measure
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Segmentation of erythema from skin photographs for assisted diagnosis in allergology
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
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A semiautomatic segmentation method for images of allergic reactions in skin prick test is proposed. The method is based on elliptic model for the shape of the wheal, and it uses the kernel Fisher discriminant for grayscale projection and for measuring the separability of the object and the background areas. Experiments indicate that the method is robust and the results are close to those obtained manually.