Performance Analysis of Various Edge Detection Techniques in X-Ray Imaging

Abstract

Edge detection is an image processing method used for discover the limitations of objects within the image. It works by sensing incoherence in illumination. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision and machine vision. In these four techniques such as Sobel Operator, Robert Operator, Prewitt Operator, and Canny Operator are used for detection of edge detection in which the canny operator is the most effective manner of finding the edge detection using X-rays. The key aim of this task is to sense human minor leg bone fracture from X-Ray imageries. The suggested structure has two steps namely pre-processing segmentation and fracture detection. Canny method produces very effective image. This paper compares the various edge detection techniques for detecting the bone fracture of lower leg bone and finds effective. The performance of the four segmentation techniques are compared based on the execution time and accuracy. The execution speed of Canny operator is 32.5 seconds and accuracy is 88.7%.