iosr-JEEE   Volume-1 ~ Issue-1

Abstract: This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them.It discusses Graph based methods, Medical image segmentation research papers and Color Image based Segmentation Techniques. With the growing research on image segmentation, it has become important to categorise the research outcomes and provide readers with an overview of the existing segmentation techniques in each category. In this paper, different image segmentation techniques starting from graph based approach to color image segmentation and medical image segmentation, which covers the application of both techniques, are reviewed.Information about open source software packages for image segmentation and standard databases are provided. Finally, summaries and review of research work for image segmentation techniques along with quantitative comparisons for assessing the segmentation results with different parameters are represented in tabular format, which are the extracts of many research papers.
Keywords: Graph based segmentation technique, medical image segmentation, color image segmentation, watershed (WS) method, F-measure, computerized tomography (CT) images

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Abstract: This work proposes a new algorithm which investigates the performance of Distribution system with multiple DG sources for the reduction in the line loss, by knowing the total number of DG units that the user is interested to connect. Strategic placement of multiple DG sources for a distribution system planner is a complex combinatorial optimization problem. The new and fast algorithm is developed for solving the power flow for radial distribution feeders taking into account embedded distribution generation sources. Also, new approximation formulas are proposed to reduce the number of required solution iterations. Power flow techniques (PF) for calculating Network performance index (NPI),Genetic algorithm in search of best locations, with considering NPI as fitness function.

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Abstract : The motivation for creating humanoids arises from the diverse socio-economical interests ranging from the restoration of day-to-day activities of differently abled to assisting humans in nearly inaccessible areas such as mines, radiation sites, military projects, etc. Recent developments in the field of image processing, thus enabling depth imaging and skeleton tracking easily has greatly increased the potential of accurately inferring the signals of human operator. The time constraints on various jobs make them grossly dependant on real time data processing and execution. Also, the acceptance by the industrial community depends on the accuracy of the complete system. The objective is to develop a proof based accurate system to assist human operation in potentially inaccessible areas. The system has to analyze image feed from the camera and deduce the gestures of the operator. Then the system communicates wirelessly with the self designed Semi-Humanoid which in-turn, imitates the operator with maximum accuracy.
Keywords - Humanoid Robot, MATLAB, Microsoft Kinect, Servo Motor, Skeleton Tracking.

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