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Canny Edge Detection Algorithm Modification

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Computer Vision and Graphics (ICCVG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

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Abstract

In this paper the novel modification of the well known Canny edge detection algorithm is presented. The first section describes the goal to be achieved by using the new algorithm. The second section describes theoretical basis of Canny algorithm and its practical implementation. Next, basics of the Ramer–Douglas–Peucker algorithm used for reducing the number of points in the curve are presented. The extension of the Canny algorithm and its implementation are presented in the fourth section. The next section shows the results of the new algorithm implementation for various images and presents statistical data to report effectiveness of the proposed algorithm modification.

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References

  1. Donoho, D., Huo, X.: Applications of Beamlets to Detection and Extraction of Lines, Curves and Objects in Very Noisy Images. Nonlinear Signal and Image Processing (NSIP), Baltimore (2001)

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  2. Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8 (1986)

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  3. Internet resource, http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm (accessed April 24, 2012)

  4. Heath, M., Sarkar, S., Sanocki, T., Bowyer, K.: Comparison of Edge Detectors. Computer Vision and Image Understanding 69(1), 38–54 (1998)

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Informatics, University of Warmia and Mazury, Olsztyn, Poland, Żonierska 14, 10-561, Olsztyn, Poland

    Wojciech Mokrzycki & Marek Samko

Authors
  1. Wojciech Mokrzycki
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  2. Marek Samko
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, KrakĂłw, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warszawa, Poland

    Konrad Wojciechowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Mokrzycki, W., Samko, M. (2012). Canny Edge Detection Algorithm Modification. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_64

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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