تطبيق خوارزميات كشف الحواف لاستخلاص هياكل الاشكال في الصورة الرقمية

Abstract

AbstractThe study of edge detection in digital images is an essential topic in the field of image processing and pattern recognition. It is essentially significant in solving the problems which represented by computer vision in order to distinguish the structural forms of those images. This research develops a program to detect the edges that exist in digital images (pictures) in order to derive the structure of the forms (shapes) that exist in those images. The study applies a suggested algorithm to different input images. Then, the study extracts the edges of the images by using four methods of detection: Robert, Sobel, Prewitt and Canny. Through the practical application, it has been noticed that the suggested program is reliable in revealing the boundaries and the edges of the forms that exist in the examined images to the degree of a single pixel mainly through depending on the choice of threshold value (automatically or manually) which determines the existence of any change through excluding the insignificant values in detection phase of the study.