The bone fracture is a not unusual problem in human beings occurs because of excessive pressure is carried out on bone or simple accident and additionally because of osteoporosis and bone cancer. Therefore the correct prognosis of bone fracture is crucial elements in clinical subjects. In these paintings, X-ray/CT photos are used for bone fracture analysis. The goal of this task is to increase an image processing based totally efficient machine for a fast and correct category of bone fractures based totally on the facts won from the x-ray / CT. Images of the fractured bone are acquired from sanatorium and processing strategies like pre-processing, segmentation, face detection, and function extraction strategies are adopted. The processed pics may be in addition categorized into the fractured and nonfractured bone and evaluate the accuracy of various strategies. This task is completely hired MATLAB as the programming device for loading photographs, photo processing, and user interface improvement. Results acquired to display the overall performance of the bone fracture detection system with a few barriers and top accuracy. FFT technique in MATLAB become carried out to the generated sound waves to have a look at the distinction between cracked and healthy bone by means of applying 200 Hz of the sampling frequency. The device might be useful for doctors and public alike on account that it's miles transportable, realistic, mobile and low cost. It has to be stated that the proposed device is not supposed for a substitute of widespread methodologies like X-Ray but alternatively will serve to be used as a preliminary detection segment, the fractured element is selected manually to conquer this disadvantage, the proposed technique detects the bone fracture automatically. The result shows that the proposed method of fracture detection is higher. The results show that algorithm is 89.6% correct and efficient.