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An Edge Detection Method Based on Directional Tracing

  • Bo Yu
  • Jiao Tu
  • Sheng Zheng
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 128)

Abstract

Edge detection is an essential preprocessing step in image analysis and recognition. In this paper, a novel edge detection method based on direction tracing is proposed. Based on our understanding of edges in a gray level image, an edge can be defined as a set of pixels where gray values vary sharply in some direction and slowly in its orthogonal direction. Each edge point has a direction, which is determined according to the absolute values of derivatives in four directions, horizontal, vertical, 45 degree and 135 degree directions. Two thresholds are chosen with statistical method to ensure the important features are grasped. Weaker edges are traced by sharp edges in terms of direction information. Nonmaximum suppression guarantees only one response to a single edge. Experimental results show the advantages of the proposed method compared with the conventional method such as Canny and Sobel edge detector.

Keywords

Edge Detection Edge Point Edge Pixel Lena Image Gray Level Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of Science & Institute of Intelligent Vision and Image InformationChina Three Gorges UniversityYichangChina

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