Edge detection is a technique of image processing used to identify points in a digital image with discontinuities, simply to say, sharp changes in the image brightness. These points where the image brightness varies sharply are called the edges or boundaries of the image.AnswerCanny edge detector is probably the most commonly used and most effective method, because it uses first a gaussian filter, it has more noise inmunity than other methods and you can stablish inferior and superior thresshold for edge detections in MATLAB.Different Evaluation TechniquesFormative Evaluations. Formative evaluations are evaluations that occur during the process. $...$Summative Evaluations. The summative evaluation occurs at the end of the program.Process Evaluation.Impact Evaluation.Outcome Evaluations.Sobel edge detector is a gradient based method based on the first order derivatives. It calculates the first derivatives of the image separately for the X and Y axes.