Title :
Optimal detection of blurred edges
Author :
Robinson, John A.
Author_Institution :
Dept. of Electron., York Univ., UK
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;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048152