Robust and fast computation of unbiased intensity derivatives in images

In this paper we develop high order non-biased spatial derivative operators, with subpixel accuracy. Our approach is discrete and provides a way to obtain some of the spatio-temporal parameters from an image sequence. In this paper we concentrate on spatial parameters.

[1]  J. Canny Finding Edges and Lines in Images , 1983 .

[2]  Rachid Deriche Fast Algorithms for Low-Level Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Rachid Deriche,et al.  Accurate corner detection: an analytical study , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[4]  Rachid Deriche,et al.  3D edge detection using recursive filtering: Application to scanner images , 1991, CVGIP Image Underst..

[5]  Robert M. Haralick,et al.  Digital Step Edges from Zero Crossing of Second Directional Derivatives , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Gérard G. Medioni,et al.  Detection of Intensity Changes with Subpixel Accuracy Using Laplacian-Gaussian Masks , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Isaac Weiss Noise-Resistant Invariants of Curves , 1993, IEEE Trans. Pattern Anal. Mach. Intell..