B-spline based multiscale signal derivative filtering

  • Ge Cong
  • SongDe Ma
Poster Session
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


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.


  1. [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.Google Scholar
  2. [2]
    J.Canny, A Computational Approach to Edge Detection, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 8, no.6, pp679–698, 1986.Google Scholar
  3. [3]
    S.Sarkar and K.L.Boyer, Optimal Infinite Impulse Response Zero Crossing Based Edge Detection, CVGIP:Image Understanding, vol.54, No.2, 1991.Google Scholar
  4. [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.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Ge Cong
    • 1
  • SongDe Ma
    • 1
  1. 1.National Lab. of Pattern RecognitionBeijingP.R.China

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