Title :
Using local information for the reliable removal of noise from the output of the LoG edge detector
Author :
Masoud, Ahmad A. ; Bayoumi, Mohamed M.
Author_Institution :
Electr. Eng. Dept., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
A method is suggested for enhancing the performance of the Laplacian of Gaussian (LOG) edge detector using local information from the neighborhood of the potential edge contours. This information is employed to separate valid edges from false ones in a reliable, efficient, low complexity manner. Statistical analysis, simulation, and, comparison with other techniques are provided
Keywords :
edge detection; random noise; statistical analysis; Laplacian of Gaussian; LoG edge detector; complexity; local information; noise; potential edge contours; statistical analysis; valid edges; Analytical models; Detectors; Image edge detection; Laboratories; Laplace equations; Personal communication networks; Probability; Robots; Signal detection; Statistical analysis;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393780
