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In this paper the linear and nonlinear inversion algorithms are applied to reconstruct a hybrid target in an anechoic chamber from electromagnetic microwave tomography data. The applied algorithms are the linear multiple signal classification (MUSIC) algorithm combined with the time reversal (TR) imaging and two nonlinear domain integral equation based methods, the contrast source inversion (CSI)...
This paper presents a hybrid segmentation approach for medical images that requires minimal manual initialization by integrating the fuzzy connectedness and Voronoi diagram classification algorithms. We start with a fuzzy connectedness filter to generate a sample of tissue from a region to be segmented and obtain image statistics that constitute the homogeneity operator to be used in the next stage...
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