Paper presents the possibilities of the polarization-singular approaches to increase the efficiency of differential Muellermatrix polarimetry diagnosis of histological sections of biopsy of adenoma and adenocarcinoma of the prostate with excellent balanced accuracy. Physically substantiated and experimentally determined the effectiveness of the method of 3D layered Jones-matrix mapping of preparations of polycrystalline films of blood plasma and saliva in the diagnosis of malignant conditions of prostate tissue. Physically substantiated and experimentally determined the effectiveness of the 3D method of direct and with spatial-frequency filtering of layer-by-layer polarization mapping of preparations of polycrystalline films of blood in differentiating malignant conditions of prostate tissue.
KEYWORDS: Image filtering, Ultrasonography, Speckle, Image processing, Linear filtering, Digital filtering, Electronic filtering, Ultrasonics, Signal to noise ratio, Gaussian filters
A review of the methods of filtering ultrasound images on the example of hip dysplasia images is presented, their advantages and disadvantages are shown. Demonstrated ways of computer diagnostics of Hip dysplasia development. The method of filtration of the speckle noise of ultrasonic images of the hip dysplasia was proposed. The proposed method focuses on Gaussian blur effects. The idea of the method is that performs a logical AND operation between the original input image and two another images processed Gaussian filtering. The algorithm was tested on the tested images, as well as on real ultrasound images of hip dysplasia.
In this paper considers the algorithm of laser beam spots image classification in atmospheric-optical transmission systems. It discusses the need for images filtering using adaptive methods, using, for example, parallel-hierarchical networks. The article also highlights the need to create high-speed memory devices for such networks. Implementation and simulation results of the developed method based on the PLD are demonstrated, which shows that the presented method gives 15-20% better prediction results than similar methods.
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