Detection of Abnormality in Human Hard Tissue using Edge Detection Operators

Human bone fractures are becoming more common as a result of elevated pressure and perhaps bone cancer. As a result, a thorough examination and diagnosis are required. X-rays and CT scan images are commonly used to diagnose anomalies in human hard tissues such as bone, dental enamel, dentin, and cementum. In this research paper, image processing techniques were used to reliably diagnose one of the human hard tissue abnormalities, namely bone abnormalities caused by fractures. Preprocessing, segmentation, edge detection, and feature extraction techniques are used to process the obtained X-ray and/or CT scan images. These images are used to contrast the impacts, outcomes, and precision of various edge detection operations. The loading, image processing, and user interface were all programmed in MATLAB. The results reveal that the bone fracture detection system works well, with just minor limitations and high accuracy.