Enhanced Computer Aided Bone Fracture Detection Employing X-Ray Images by Harris Corner Technique

C. Z. Basha, M. Reddy, K. Nikhil, P. M. Venkatesh, A. Asish
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引用次数: 25

Abstract

Rapidly creative innovations are emerging day by day in various fields, particularly in restorative condition. Bone fracture is one of the most common human problem and happens when the high pressure is applied to the bones, or simply because of accidents. High precision diagnosis of bone fracture is an important feature in the medical profession. Owing to fewer physicians, remotely based hospitals cannot have any of the equipment to diagnose fractures. X-ray scans are used to assess the fractures. These X-rays are one of the less expensive techniques for identification of fractures. Harris corner based detection algorithm is proposed to extract features from the image and the extracted features from this algorithm can identify edges, fractures and corners present in the image.300 different X-ray images are collected from Osmania hospital, Hyderabad. Proposed method gives an accuracy of 92% which is better in recognizing fracture compared to the existing methods.
基于哈里斯角技术的x射线图像增强计算机辅助骨折检测
在各个领域,特别是在恢复性条件下,快速的创造性创新日益出现。骨折是人类最常见的问题之一,当骨骼受到高压时,或仅仅因为事故而发生骨折。骨折的高精度诊断是医学界的一个重要特点。由于医生较少,远程医院无法拥有任何诊断骨折的设备。x射线扫描用于评估骨折。这些x射线是一种较便宜的骨折鉴定技术。提出了一种基于Harris角点的图像特征提取算法,该算法提取的特征可以识别图像中存在的边缘、裂缝和角点。从海得拉巴的Osmania医院收集了300张不同的x射线图像。与现有方法相比,该方法的裂缝识别准确率达到92%。
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