DocumentCode :
384206
Title :
Optimal detection of blurred edges
Author :
Robinson, John A.
Author_Institution :
Dept. of Electron., York Univ., UK
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
831
Abstract :
I develop a variational model for the detection of blurred edges. Though yielding a complicated general solution, the model gives insight into edge detection models previously proposed for step edges. In particular it shows that a previous IIR solution for step edges is correct even in the FIR case, and suggests why operators approximating the first derivative of a gaussian are successful, despite their suboptimality for step edge detection.
Keywords :
edge detection; mathematical operators; variational techniques; FIR case; IIR solution; edge detection models; first Gaussian derivative approximation; operators; optimal blurred edge detection; step edges; variational model; Additive noise; Additive white noise; Convolution; Finite impulse response filter; Gaussian noise; H infinity control; Image edge detection; Multi-stage noise shaping; Shape; Signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048152
Filename :
1048152
Link To Document :
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