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The Canny Edge Detection and Its Improvement

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7530)

Abstract

To solve the problem of the traditional Canny edge detection operator has the weaknesses in excessive smoothing image and adaptability, and improved the parameter Sigma and the method to obtain high threshold. We did experiments with gray image of two cases with noise and without noise. The experimental results show that the improved Canny edge detection operators can balance eliminating noise from getting more edge information, which has the well continuity of the edge detection, and can detect the edge detail of the image. According to the image adaptive calculation, the improved algorithm has the advantage of low computational complexity, less calculation time.

Keywords

  • Canny edge detection
  • Edge gradient
  • Edge and texture

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© 2012 Springer-Verlag Berlin Heidelberg

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Ma, X., Li, B., Zhang, Y., Yan, M. (2012). The Canny Edge Detection and Its Improvement. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-33478-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33477-1

  • Online ISBN: 978-3-642-33478-8

  • eBook Packages: Computer ScienceComputer Science (R0)