DocumentCode :
2381343
Title :
Three-dimensional nth derivative of Gaussian separable steerable filters
Author :
Derpanis, Konstantinos G. ; Gryn, Jacob M.
Author_Institution :
Dept. of Comput. Sci., York Univ., Toronto, Ont., Canada
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
This paper details the construction of three-dimensional separable steerable filters. The approach presented is an extension of the construction of two-dimensional separable steerable filters outlined in W.T. Freeman and E.H. Adelson (1991). Additionally, three-dimensional separable steerable filters, both continuous and discrete versions, for the second derivative of the Gaussian and its Hilbert transform are reported. Experimental evaluation demonstrates that the errors in the constructed separable filters are negligible.
Keywords :
Gaussian processes; Hilbert transforms; filtering theory; image processing; multidimensional signal processing; Gaussian separable steerable filters; Hilbert transform; three-dimensional separable steerable filters; Computer science; Discrete transforms; Image analysis; Image processing; Jacobian matrices; Motion detection; Nonlinear filters; Pattern analysis; Polynomials; Spatiotemporal phenomena;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530451
Filename :
1530451
Link To Document :
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