—Due to the importance of image edge detection in image analysis, object recognition and many applications, many edge detection algorithms are used to detect edges of objects in the image. Edges typically occur on the boundary between two different regions in the image. There are a number of algorithms for this, but these may be classified as derivative based where the algorithm takes first or second derivative on each pixel, or gradient based where a gradient of consecutive pixels is taken in x and y direction. In our paper we address the problem of gradient based image edge detection, several algorithms are tested, as a result of these algorithms binary images are produced, which represent objects and their background which then helps interpreting the content of the considered images, several medical(for different and the same organ) as well as natural images are used to evaluate the performance of the algorithms and their suitability for both kinds of images.
—Canny edge detection, image analysis, image edge detection.
Jamil A. M. Saif and Mahgoub H. Hammad are with the Information Systems Dept, Community College of Bisha, King Khalid University, KSA, Saudi Arabia (e-mail: jamil_alabssi@ yahoo.com, email@example.com).
Ibrahim A. A. Alqubati is with the Information Systems Dept, Community College of Najran, Najran University, KSA, Saudi Arabia (e-mail: alqubati_ibr@ yahoo.com).
Cite: Jamil A. M. Saif, Mahgoub H. Hammad, and Ibrahim A. A. Alqubati, "Gradient Based Image Edge Detection," International Journal of Engineering and Technology vol. 8, no. 3, pp. 153-156, 2016.