An Approach of Detecting Discontinuities in Images

Edge detection is the procedure of identifying and tracing sharp discontinuities in an image. The discontinuities are sudden changes in pixel intensity which describe boundaries of objects in a scene. The reason for that is that edges form the outline of an object. A benefit could be the linking a thing and the backdrop and shows the boundary between overlying objects. Image edge detection also decreases the amount of data and filters out inadequate information, while maintaining the important structural properties in an image. Edge detection is found in various fields like image analysis and pattern recognition. This paper describes the various edge detection techniques along with discussing their advantages and limitations. The techniques discussed here are Roberts operator, Sobel operator, Prewitt's cross operator, Laplacian, Laplacian of Guassian and Canny's edge detection. In this paper, The Experiments shows the completed edge information with the accuracy and reduced the errors, increasing the PSNR values which predict the signal are better rather than error and also the comparison of these techniques is carried out with an experiment by using MATLAB software.