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Medical image registration is an active research field in medical image processing in the last two decades. One of the surveys of medical image registration is voxel-based method, which is generally considered as very accurate, almost fully automatic. The most efficient voxel-based method is maximization of mutual information (MI). In this paper, we will(More)
Derived from the pioneer ionic Hodgkin-Huxley model and due to its simplicity and richness from a point view of nonlinear dynamics, the FitzHugh-Nagumo model (FHN) is one of the most successful simplified neuron / cardiac cell model. There exist many variations of the original FHN model. Though these FHN type models help to enrich the dynamics of the FHN(More)
The aim of this work is to study the feasability of reconstruction mathematical model of cardiac tissue from in-tracellular recordings. It is studied using simulated data and the presented method is applied to the Aliev-Panfilov model. A dissociated scheme is proposed and the estimation of some parameters is investigated in case of ideal or noisy data. The(More)
The aim of this research is to register satellite images on the DSP processor using probabilistic optimization method named as particle swarm optimization. Satellite image registration is necessary in order to find change detection, to eliminate influence of camera distortion (roll, pitch and yaw), merge satellite imagery and in urban planning. Particle(More)
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