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