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12.10 Further Readings
J. F. Canny. A computational approach to edge detection. PAMI, 8:679–698, 1986.
P.-E. Danielsson, Q. Lin, and Q.-Z. Ye. Efficient detection of second degree variations in 2D and 3D images. Technical Report LiTH-ISYR-2155, Department of Electrical Engineering, Linköping University, S-58183 Linköping, Sweden, 1999.
R. Deriche. Fast algorithms for low-level vision. IEEE Trans. PAMI, 12(1):78–87, 1990.
B. Jähne, H. Scharr, and S. Körgel. Principles of filter design. In B. Jähne, H. Haußecker, and P. Geißler, eds., Computer Vision and Applications, volume 2, Signal Processing and Pattern Recognition, chapter 6, pp. 125–151. Academic Press, San Diego, 1999.
J. J. Koenderink and A. J. van Doorn. Generic neighborhood operators. IEEE Trans. PAMI, 14(6):597–605, 1992.
S. Lanser and W. Eckstein. Eine Modifikation des Deriche-Verfahrens zur Kantendetektion. In B. Radig, ed., Mustererkennung 1991, vol. 290 of Informatik Fachberichte, pp. 151–158. 13. DAGM Symposium, München, Springer, Berlin, 1991.
D. Marr. Vision. W. H. Freeman and Company, New York, 1982.
D. Marr and E. Hildreth. Theory of edge detection. Proc. Royal Society, London, Ser. B, 270:187–217, 1980.
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(2005). Edges. In: Digital Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27563-0_12
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