A Comparison of various Edge Detection Techniques used in Image Processing

In this paper the important problems are taken in this paper is to understand the fundamental concepts of various filters and apply these filters in identifying a shark fish type which is taken as a case study. In this the edge detection techniques are taken for consideration. The software is implemented using MATLAB. The main two operators in image processing are Gradient and Laplacian operators. The case study is taken for observation of Shark Fish Classification through Image Processing using the various filters which are mainly gradient based Roberts, Sobel and Prewitt edge detection operators, Laplacian based edge detector and Canny edge detector. The advantages and disadvantages of these filters are comprehensively dealt in this study