Cihan University-Erbil Scientific Journal a periodic multidisciplinary scientific journal issued by Cihan University- Erbil after auditing and revising by a specialized staff headed by the President of the university. The journal publishes original creative researches related to all fields of pure and applied sciences and humanities in Kurdish, Arabic and English.
Related Articles
Author:Sarah Behnam Aziz
Computer Science &IT department, Salahaddin University
Author: Dalya Abdullah Anwer
Computer Science &IT department, Salahaddin University
Author: Mardin A. Anwer
Software and Informatics Department, Salahaddin University, Cihan University-Erbil
DOI: http://dx.doi.org/10.24086/cuesj.si.2017.n1a5
Abstract
Edge detection plays an important role in image processing, pattern recognition and computer vision applications. Most of edge detection schemes are based on finding maximum in the first derivative of the image function or zero crossings in the second derivative of the image function. Various methods of edge detection for color images, including techniques extended from monochrome edge detection as well as vector space methods are presented. This research presents a comparative study on different methods of edge detection of color images. The methods are based on vector space, color space and numerical methods. Seven different colored images are test in this research. Performance is analyzed depending on Mean Square Error (MSE). The experimental results show that applying vector value (Jacobian method )will create a thick and disconnected edge with all operators Sobel, Prewitt and Log. While the least square method produce edges that are much thicker but continuous. The best performance was found when using YCbCr luminance (Y) and chrominance (Cb and Cr) method, the edges are sharpened, continuous, and not thickness. They are similar with Sobel and Prewitt operators nonetheless with some missing edges while it is better with Log operator.
Keywords: Edge detection; least square numerical method; Sobel operator; Prewitt operator; log operator, Jacobian eignvalue.
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