Further results on the DRF method for edge detection

The magnitude-distance and maximum-value-distance filters are analyzed, and fast realizations are proposed to implement a DRF cascade for edge detection. It is shown that the maximum-value-distance filter is well adapted to parallel processing and works two times as fast as the magnitude-distance filter. It is shown also that the adaptive gradient is an optimal estimate for edge-pixel verification after zero-crossing detection. The efficiency of the proposed algorithms is confirmed by experimental results.<<ETX>>

[1]  M. W. Smith,et al.  A New Algorithm for Edge Detection , 1975 .

[2]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  Michael Brady,et al.  Rotationally symmetric operators for surface interpolation , 1983, Comput. Vis. Graph. Image Process..

[4]  Azriel Rosenfeld,et al.  Multiresolution image processing and analysis , 1984 .

[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]  Jun Shen,et al.  Edge Detection Based On Multi-Edge Models , 1988, Other Conferences.