NDLI: Using morphological operations — Erosion based algorithm for edge detection

Content Provider	IEEE Xplore Digital Library
Author	AlAzawee, W.S. Abdel-Qader, I. Abdel-Qader, J.
Copyright Year	2015
Description	Author affiliation: Electr. & Comput. Eng. Dept., Western Michigan Univ., Kalamazoo, MI, USA (AlAzawee, W.S.; Abdel-Qader, I.) \|\| Intel Corp. Hillsboro, Hillsboro, OR, USA (Abdel-Qader, J.)
Abstract	Edge detection remains a challenging task in many applications even with the abundance of commonly used methods such as Sobel, Robert, Prewitt, Canny, and Cellular Automata. In this paper, a new method is proposed for edge detection using morphological operations and utilizing erosion processes to identify the edges in an image. In this work we propose to use morphological operators of disk shape to detect thin edges from binary images generated using Otsu's thresholding technique. Using several synthetic and real images from a variety of applications, we show that our proposed algorithm provides a robust method in terms of accuracy and computation time, making it suitable for real time processing. The results also show that this algorithm is capable of producing one-pixel-width continuous edges as well as accurate positioning while preserving minute image details. We also present comparison results between our proposed method and Sobel, Robert, Prewitt, Canny and Cellular Automata methods.
Starting Page	521
Ending Page	525
File Size	3622986
Page Count	5
File Format	PDF
ISSN	21540373
e-ISBN	9781479988020
DOI	10.1109/EIT.2015.7293391
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Morphological operations Automata Shape Noise measurement Morphology Computers Otsu's method Edge Detection Morphological Operations
Content Type	Text
Resource Type	Article

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