FPGA Based Bone Fracture Detector

Abstract

Abstract Medical imaging was existed as a new domain of research for the treatment of images that can be easily improved, cut and exposed. The proposed technique aims at detecting the objects’ boundaries of noisy images by means of the information on the images of X-ray. Since medical images are made up of noise, and since the edges of the bone make it difficult to detect, edge detection technology has been a key tool in discovering and improving these edges. The edges are changes in the intensity of the lighting of the image. Among several methods for edge detection, the Sobel method is used in this research paper as it is the most famous operator used in the algorithms of detection edges. The algorithms of image processing have been confined to the implementation of slow software due to the limited speed of the processor. As such, a dedicated processor for edge detection was designed and implemented. The results were compared with those arrived at by MATLAB. They were found out to be the same as those of implementation on FPGA which showed the way that Sobel edge detection can assist in determining the location of the fractures in X-ray images. A speedup of approximately 153.8586 can be obtained by Spartan3E FPGA XC3S500E kit system over the software implementation.