Title :
Finding zero-crossings using the Laplacian of a LLMMSE filter for stationary random noise
Author :
Sengupta, S. ; Nandkumar, S. ; Lynch, P.M.
Author_Institution :
Tulane Univ., New Orleans, LA, USA
Abstract :
Edge detection in the presence of noise is a fundamental problem in computer vision. Its solution directly influences the solution of many higher-level vision problems. A method for edge detection in the presence of stationary, signal independent, randomly distributed additive noise is presented. A rotationally symmetric Laplacian of a locally linear minimum-mean-squared-error (LLMMSE) filter is used to obtain the zero-crossings in an image instead of the Marr-Hildreth operator. The effect of this filter is studied for images degraded by Gaussian white noise
Keywords :
computer vision; computerised picture processing; filters; random noise; Gaussian white noise; LLMMSE filter; Laplacian; Marr-Hildreth operator; computer vision; edge detection; locally linear minimum-mean-squared-error filter; stationary random noise; zero-crossings finding; Approximation algorithms; Change detection algorithms; Computer vision; Degradation; Detectors; Filters; Gaussian noise; Image edge detection; Laplace equations; Surface fitting;
Conference_Titel :
Southeastcon '88., IEEE Conference Proceedings
Conference_Location :
Knoxville, TN
DOI :
10.1109/SECON.1988.194845
