Recently, we have shown that the differential properties of the surfaces represented by 3D volumic images can be recovered using their partial derivatives. For instance, the crest lines can be characterized by the first, second and third partial derivatives of the grey level function I(x, y, z). In this paper, we show that: the computation of the partial derivatives of an image can be improved using recursive filters which approximate the Gaussian filter; a multi-scale approach solves many of the instability problems arising from the computation of the partial derivatives; and we illustrate the previous point for the crest line extraction (a crest point is a zero-crossing of the derivative of the maximum curvature along the maximum curvature direction). We present experimental results of crest point extraction on real 3-D medical data.<>


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    Title :

    Extraction of the zero-crossings of the curvature derivatives in volumic 3D medical images: a multi-scale approach


    Contributors:
    Monga (author) / Lengagne (author) / Deriche (author)


    Publication date :

    1994-01-01


    Size :

    427835 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Extraction of the Zero-Crossings of the Curvature Derivatives in Volumic 3D Medical Images: A Multi-Scale Approach

    Monga, O. / Lengagne, R. / Deriche, R. et al. | British Library Conference Proceedings | 1994


    Crest Lines Extraction in Volumic 3D Medical Images: A Multi-Scale Approach

    Monga, O. / Lengagne, R. / Deriche, R. et al. | British Library Conference Proceedings | 1994