Pushpa Publishing House

Journal Menu

Content

Volume 17 (2018)

Volume 16 (2016)

Volume 15 (2015)

Volume 14 (2015)

Volume 13 (2014)

Volume 12 (2014)

Volume 11 (2013)

Volume 10 (2013)

Volume 9 (2012)

Volume 8 (2012)

Volume 7 (2011)

Volume 6 (2011)

	Volume 6, Issue 2 Pg 105 - 204 (May 2011)
	Volume 6, Issue 1 Pg 1 - 104 (February 2011)

Volume 5 (2010)

Volume 4 (2010)

Volume 3 (2009)

Volume 2 (2008)

Volume 1 (2007)

Advances in Computer Science and Engineering

Advances in Computer Science and Engineering
Volume 6, Issue 2, Pages 115 - 127 (May 2011)

EVALUATING THE PERFORMANCE OF EDGE DETECTION TECHNIQUES THROUGH GRADIENT METHOD
Abdel Karim M. Baareh, Ahmad M. Smadi, Khaled Freihat and Ahmad Al-Jarrah

Abstract:
Image segmentation and recognition through edge detection techniques are addressed intensively as the number of applications that contribute to image area arises. Edge detection techniques are emerged as subtle methods for image recognition paradigm. The aim of this paper is to evaluate and compare the performance of four well-known edge detector methods in finding and detecting the physical objects inside the image. Sobel, Kirsch, Vertical and Horizontal techniques detectors are applied on gray-scale 2D synthesis and real images in Jordan. The evaluation of the methods is contributed through both subjective and objective evolutions. The implementation of these techniques is accomplished using C# programming languages. The comparative study between the four techniques indicates that the Sobel detector performance in discovering the points of strength in images was better than the Kirsch, Vertical and Horizontal techniques. Hence, we recommend Sobel as a useful edge detector technique in detecting the images boundary.

Keywords and phrases: edge detector, edge enhancement, edge localization, smoothing, image processing.

Number of Downloads: 287 | Number of Views: 833