DocumentCode :
2420921
Title :
Elliptical Gaussian filters
Author :
Jackson, Scott A. ; Ahuja, Narendra
Author_Institution :
Intel Corp., Santa Clara, CA, USA
Volume :
2
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
775
Abstract :
A multiscale region detector for low-level image analysis is described. The basis of the detector is a set of filters similar to the Laplacian of an elliptical Gaussian. The responses of these filters to ideal ellipses are derived, and equations for determining the parameters of detected ellipses from the filter responses are found. The use of scale-space techniques to eliminate false ellipse sites in real images is described
Keywords :
image texture; Laplacian of Gaussian; elliptical Gaussian filters; low-level image analysis; multiscale region detector; parameter determination; scale-space techniques; Algorithm design and analysis; Closed-form solution; Convolution; Detectors; Filters; Image texture analysis; Laplace equations; Pixel; Shape; Tellurium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546928
Filename :
546928
Link To Document :
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