Bone Fracture Detection from X-Ray Image of Human Fingers Using Image Processing

Abstract

Orthopaedics deals with surgery and treatment of the human musculoskeletal system. It also involves degenerative conditions, trauma, sports injury, tumors, and congenital issues. Orthopaedic doctors are always interested to take an X-Ray image of injured parts of patient’s body for better diagnosis. In an X-Ray imaging, electronic radiation is passed in the human body for capturing bone images. After X-Ray image retrieval, a doctor examines X-Ray image manually. It is not that easy to detect most of the major diseases/issues related with the bones just by visualizing an X-Ray image, although in some cases, it is possible, but till that time, diseases may reached towards next or serious stage for example bone fracture. The main problem with X-Ray images is that they may be blurred, out of focus, improperly bright and noisy, which makes examination more difficult. One of the solutions to all above problems can be computerized image processing of human being’s X-Ray images. In this research paper, we have presented an algorithm to detect bone fracture from X-Ray images of human fingers using image processing.