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Detection of Fractures in Long Bones for Trauma Centre Patients using Hough Transform

机译:使用霍夫变换检测创伤中心患者长骨骨折

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Detection of fractures in the bone are very important in case of trauma or accidents. It is critical to identify the fractures as early as possible. However, many times due to minor cracks, the fracture may not be clearly visible in the X Ray Image. The aim of this project is to develop an image processing based efficient system for a quick and accurate classification of bone fractures based on the information gained from the x-ray / CT images. Images of the fractured bone are obtained from hospital and processing techniques like segmentation, edge detection and feature extraction methods are adopted. These images were processed in a developed tool to detect minor fractures and broken bones.
机译:在发生创伤或事故的情况下,检测骨骼中的骨折非常重要。尽早发现骨折至关重要。但是,由于细微的裂纹,很多时候在X射线图像中可能看不到断裂。该项目的目的是基于从X射线/ CT图像获得的信息,开发一种基于图像处理的高效系统,以快速,准确地对骨折进行分类。骨折的图像是从医院获得的,并采用了分割,边缘检测和特征提取方法之类的处理技术。这些图像在开发的工具中进行了处理,以检测较小的骨折和骨折。

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