Image Edge Detection Based On MATLAB

Edge is the most basic features of the image. Edge is the part of the image where localintensity changes most obviously. It exists between region and region, object and object,object and background, element and element. Edge includes the critical information used torecognize in image processing. Edge detecting is one of the most basic and the most importantprocedures in digital image processing.This paper introduces six kinds of classical edge detection operators, including Robertsoperator, Sobel operator, Canny operator, Prewitt operator, LOG algorithm and wavelet theory.Behinds, we make use of the functions on edge detection provided by MATLAB to processthe same image with these different edge detection operators, and analyse the results to gettheir characteristics in processing image.Some traditional image edge detection operators, including Roberts operator, Sobeloperator and Sobel operator, they have one same characteristic. They are simple and fast, butthey are sensitive to the noise. Both LOG algorithm and Canny operator de-noise the imagefirst. They have better performance suppressing noise, but they would lost some edgeinformation at same time.LOG algorithm process gradient gray image better while Cannyoperator process step-function edge image better. Wavelet transformation detection is able tohold more edge information. It’s better to process small array image.