Image Processing for Medical Assist

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Turkan Tabrizi, Masoud | 2016

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Type of Document: M.Sc. Thesis
Language: English
Document No: 48469 (55)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Bagheri Shouraki, Saeed
Abstract:
A survey on the methods of detecting a human body inside surrounding captured images of a machine, optimizing one of these methods and finding an injured person in a captured picture is our target. Using neural networks for better detection and making RBFN network, make it possible to use high altitude captured pictures with lower resolution and light changes. Modifying RBFN to MRBFN network for an optimized processing with effect of living signs seems to be an applicable approach. These methods can extended from detecting an injured person in a captured picture, to analyze the medical images like detecting a special pattern in MRI picture. Of course it’s a start for many future technologies.If the brakes of a vehicle, can detect a human, can prevent of an accident and irreparable damage.If a hospital robot, can detect a human, can give him many services.If a flying machine, can detect a human, can help him in emergency cases.There is no limitation for usages in the future. It should be a part of future processing systems
Keywords:
Medical Images ; Neural Networks ; RGB-D Camera ; Radial Basis Neural Network ; Pattern Recognition ; Human Detection ; High Attitude Pictures

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