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Adaptive multiscale edge detection based on vision feature of edge and wavelet transform

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Journal of Electronics (China)

Abstract

A new multiscale edge detection method is presented, which is based on an effective edge measure. The effective edge measure, used to adaptively adjust the scales of wavelet transform, is defined using the novel features of image edge obtained from human being vision characteristics. Finally, two experiments show that the proposed algorithm appears to work well.

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References

  1. D. Marr, E. C. Hildreth, Theory of edge detection, Proc. Roy. Soc. Lond, Series B, 1980, Vol. 207, 187–217.

    Article  Google Scholar 

  2. J. Canny, A Computational approach to edge detection, IEEE Trans. on PAMI., PAMI-8(1986)6, 679–698.

    Google Scholar 

  3. A. P. Witkin, Scale-space filtering, in Proc. 7 Int. Joint. Conf. Artificial Intell., Palo Atto, CA: Kaufmann, 1983, 1019–1021.

    Google Scholar 

  4. S. Mallat, S. Zhong, Characterization of signals from multiscale edges, IEEE Trans. on PAMI, PAMI-14(1992)9, 710–732.

    Google Scholar 

  5. T. Aydin, Y. Yemez, E. Anarim, B. Sankur, Multidirectional and multiscale edge detection via M-band wavelet transform, IEEE Trans. on Image Processing, IP-5(1996)9, 1370–1377.

    Article  Google Scholar 

  6. R. J. Qian, T. S. Huang, Optimal edge detection in two-dimensional images, IEEE Trans. on Image Processing, IP-15(1996)7, 1215–1220.

    Article  Google Scholar 

  7. Jing Qicheng, Jiao Shulan, Ji Guiping, Human Being Vision, Beijing: Science Press, 1987, 91–113, (in Chinese).

    Google Scholar 

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Yang, X., Liang, D. Adaptive multiscale edge detection based on vision feature of edge and wavelet transform. J. of Electron.(China) 16, 104–108 (1999). https://doi.org/10.1007/s11767-999-1029-8

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  • DOI: https://doi.org/10.1007/s11767-999-1029-8

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