Elham Jasim Mohammad, Mohammed JawadKadhim, Waleed Ibrahim Hamad, Sundus Yasser Helyel, AsmaaAbdAlstarAbdAlrsaak, Farouk Khalid Shakir Al-Kazraji, Anaam Musa HadeeAbud
The areas of this work are in digital image process and telecommunication engineering, which are very wide fields. This work is intended to implement the edge detection for digital image, so that it may be carried out to a big contour identification of an image. Edge detection is one of the most fundamental operations in image processing and computer vision. It is defined as the process of locating the boundaries of objects or textures depicted in an image. Knowing the positions of these boundaries is critical in the process of image enhancement, recognition, restoration and compression. The edges of image are considered to be most important image attributes that provide valuable information for human image perception. The data of edge detection is very large, so the speed of image processing is a difficult problem. Sobel operator is commonly used in edge detection. In the edge function, the Sobel method uses the derivative approximation to find edges. This paper mainly used the Sobel operator method to do edge detection processing on the images. Our paper is focused on software used to detect edges of image employing mainly the MATLAB program for solving this problem.