Noha Youssry El-Zehiry

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Minimization of boundary curvature is a classic regularization technique for image segmentation in the presence of noisy image data. Techniques for minimizing curvature have historically been derived from descent methods which could be trapped in a local minimum and therefore required a good initial-ization. Recently, combinatorial optimization techniques(More)
Minimization of boundary curvature is a classic regularization technique for image segmentation in the presence of noisy image data. Techniques for minimizing curvature have historically been derived from gradient descent methods which could be trapped by a local minimum and therefore required a good initialization. Recently, combinatorial optimization(More)
The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has been performed using level sets methods that optimize the Mumford-Shah energy by evolving the level sets via the gradient descent. These methods are very slow and prone to getting stuck in(More)
The minicolumn is generally considered the basic unit of the neocortex in all the mammalian brains. Enlargement of the cor-tical surface is believed to occur through the addition of mini-columns rather than a single neuron.This study aims at testing the hypothesis that brain developmental disorders can be diagnosed and analyzed in terms of the minicolumnar(More)
This paper presents a novel graph cut based seg-mentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edges model [6]. Our model also relaxes the homogeneity constraint that assumes that the image is modeled by a piece-wise constant approximation. The major contribution of this paper(More)
The paper presents a graph cut based active contour without edges segmentation model to track pedestrian in thermal images. The deformable model is based on the Mumford-Shah piecewise constant energy formulation. However, the model presented here relaxes the global homogeneity assumption of the Mumford-Shah functional. A discrete energy formulation is(More)
Ultrasound acquisition is a challenging task that requires simultaneous adjustment of several acquisition parameters (the depth, the focus, the frequency and its operation mode). If the acquisition parameters are not properly chosen, the resulting image will have a poor quality and will degrade the patient diagnosis and treatment workflow. Several(More)