iosr-JECE   Volume-9 ~ Issue-2 ~ Mar-Apr 2014

Abstract:The known fact of wide impression of digitization on every aspect makes us refer to the artificial intelligence in lowering the difficulty of analyzing a medical image. Considering that the neural network applications in computer aided diagnosis represents the main stream of computational intelligence in medical imaging, it focuses on recent neural network developments. Keeping in mind the extremity of the requirement of how much perfectly it analyzes an image that well it can be justified, providing a clear view on the developments made by Mathematical morphology, back propagation neural networks in computer-aided detection, diagnosis and simulation describing number of applications. Representative techniques and algorithms are explained in detail illustrating how neural networks with fixed structure and training procedure could be applied to resolve a medical imaging problem followed by getting analyzed, processed and characterized by it. In the concluding section, an emphasis of comparisons among many neural network applications is included to provide the extent of neural computation in medical imaging.

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Abstract:Automatic image registration is still an actual chal- lenge in several fields. Although several methods for automatic image registration have been proposed in the last few years, it is still far from a broad use in several applications, such as in remote sensing. In this paper, a method for automatic image reg- istration through histogram-based image segmentation (HAIRIS) is proposed. This new approach mainly consists in combining several segmentations of the pair of images to be registered, according to a relaxation parameter on the histogram modes de- lineation (which itself is a new approach), followed by a consistent characterization of the extracted objects—through the objects area, ratio between the axis of the adjust ellipse.

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Abstract:This paper presents E-shape microstrip patch antenna with wideband wireless application. This shape will provide the broad bandwidth which is required in various application like remote sensing, biomedical application, mobile radio, satellite communication etc. The antenna design Probe feed technique is used in the experiment. Parametric study was included to determine affect of design towards the antenna performance. The performance of the designed antenna was analyzed in term of gain, return loss and radiation pattern. The design was optimized to meet the best possible result. The substrates FR4 and Duriod used in this have a dielectric constant of 4.4 and 2.2 respectively . The results show the wideband antenna is able to operate.

Index Terms: E-shape microstrip patch antenna, wideband.

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