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An Automatic Regenerated Neuron Counting Method
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Since the modern lifestyle tends to be repetitive and monotonous, people's negligence in daily life will result in lots of diseases of civilization, such as incorrect posture for a long time, excessive exercises or lack of warm-up and accidents occurred in work or transportation. All of these can lead to the peripheral nerve injury. Peripheral nerve injury will cause pain and numbness in the affected part, and what is worse, muscular dystrophy or permanently lose its function. In view of the importance of the healthy peripheral nerve to human body, it is a big issue in medical care and research for the restoration of nerve injury. As a result of that, an increasing number of researchers devoted themselves to the relevant study of nerve conduit surgery. In recent years, they have made considerable progress in the surgery of nerve restoration and biomedical materials. There are many kinds of medical treatment to restore the neurotmesis. The major peripheral nerve surgery for regenerating the severed nerve uses an artificial nerve conduit to help the nerve to grow. In the medical process of nerve regeneration, the researchers comprehend the recovery of nerve fasciculus by observing the density of neurons in the nerve fasciculus' image. Therefore, a system that calculate automatically the number of neurons in the image can help experts conclude accurately the effectiveness of nerve surgery and the recovery of nerve function for further approach. This study is aimed to assist the paramedics in keeping track of the nerve regeneration after surgery in order to facilitate biomedical researchers to develop the nerve conduit of the new generation. Although there are other systems to support the counting function of neurons, the image quality is not ideal and the accuracy rate of counting is poor. In this thesis, we present a method for strengthening the contour of the object, improving the contrast of the object with the background, and reducing the noises in the image, so as to increase the accuracy rate of counting to 98%.
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