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B-spline based multiscale signal derivative filtering

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Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

We first generalize the multiscale filter proposed by Li and Ma[1] and then we use the method and B-spline as its kernel to construct multiscale derivative filters, we show that the filter can be recursively implemented.

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Reference

  1. B.C.Li and S.D.Ma, Multiscale-Filtering Based Computation of High Order Derivatives, SPIE. on Visual Commu. and Image Processing, Chicago, USA, 1994.

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  2. J.Canny, A Computational Approach to Edge Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 8, no.6, pp679–698, 1986.

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  3. S.Sarkar and K.L.Boyer, Optimal Infinite Impulse Response Zero Crossing Based Edge Detection, CVGIP:Image Understanding, vol.54, No.2, 1991.

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  4. T.Poggio, H.Voorhees and A.Yuille, A regularized solution to edge detection, M.I.T. AI Lab. A.I.Memo 833,May, 1985.

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Author information

Authors and Affiliations

  1. National Lab. of Pattern Recognition, PO.Box 2728, 100080, Beijing, P.R.China

    Ge Cong & SongDe Ma

Authors
  1. Ge Cong
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  2. SongDe Ma
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Cong, G., Ma, S. (1995). B-spline based multiscale signal derivative filtering. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_145

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  • DOI: https://doi.org/10.1007/3-540-60697-1_145

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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