Title :
An optimization method for edge-detector parameter tuning based on visual perception
Author :
Teixeira, Flávio C A ; Bergen, Stuart W A ; Antoniou, Andreas
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
Abstract :
An optimization method for tuning the parameters of edge detection algorithms based on visual perception is proposed and applied to the Sobel, Laplacian of Gaussian (LoG), and Canny detectors. The method uses human visual quality perception to compare edge maps generated by different edge detector parameter values and iteratively reduces the parameter search space by means of a coordinate search. The method is applicable to any parameterized edge detector. Examples demonstrate that use of the Canny detector yields the most visually appealing edge maps. However, it requires 2.5 and 1.8 times the number of iterations required by the Sobel and LoG detectors, respectively.
Keywords :
Gaussian processes; edge detection; optimisation; Canny detectors; Laplacian of Gaussian detectors; Sobel detectors; edge detection; human visual quality perception; optimization; parameter tuning; visual perception; Data mining; Detectors; Digital filters; Humans; Image edge detection; Image processing; Iterative algorithms; Laplace equations; Optimization methods; Visual perception;
Conference_Titel :
Communications, Computers and Signal Processing, 2009. PacRim 2009. IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4244-4560-8
Electronic_ISBN :
978-1-4244-4561-5
DOI :
10.1109/PACRIM.2009.5291293
