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Research Based on Edge Feature Detection in Computer Image Processing

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Information and Automation (ISIA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 86))

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Abstract

Edge being one of the most basic features of image, the features of it have important uses in computer image processing, and are widely employed in feature extraction, image recognition and other fields. This paper first introduces several major traditional and modern feature detections of edges, analyzes their respective advantages and disadvantages; and then conducts an analysis and research of the development trends of edge detection.

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References

  1. Lv, T., Liu, B., Bi, X.: Simple algorithm for image edge extraction and its application. Computer Simulation 20(4) (2003)

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  2. Ji, H., Sun, X., Shao, X., et al.: Image edge detection and its prospects. Computer Engineering and Application 14 (2004)

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  3. Zhou, D., Pan, Q.: Improved Algorithms of Fuzzy Image Edge. China Journal of Image and Graphics 6(4), 353–358 (2001)

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  4. Rosenfeld, A.: Computer Vision: A Source of Models for Biological Visual Process. IEEE Trans. on Biomed. Eng. 36(1), 83–94 (2006)

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  5. Wang, Q., Ruan, H.: An Fast fuzzy edge detection algorithm. China Journal of Image Graphics 6(1), 92–95 (2001)

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Author information

Authors and Affiliations

  1. Computing Center, Henan University, Kaifeng, China

    Peng Wu, Huijuan Lv & Shilei Shen

Authors
  1. Peng Wu
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  2. Huijuan Lv
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  3. Shilei Shen
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Editor information

Editors and Affiliations

  1. Wuhan Institute of Technology, Wuhan, Hubei, China

    Luo Qi

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© 2011 Springer-Verlag Berlin Heidelberg

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Wu, P., Lv, H., Shen, S. (2011). Research Based on Edge Feature Detection in Computer Image Processing. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-19853-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19852-6

  • Online ISBN: 978-3-642-19853-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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