Title :
An improved edge detector based on the Laplacian operator
Author_Institution :
Sch. of Math. & Inf. Sci., Henan Polytech. Univ., Jiaozuo, China
Abstract :
In this paper, we propose an improved edge detection method based on the Laplacian operator. The improved edge detector is constructed by combining the optimal criteria for zero-crossing based edge detector and the edge-matching model for Laplacian operator-based edge detector. In order to extract the edges objectively, an unsupervised thresholding technique is introduced. Finally, the validity of the new edge detector is shown by some comparison experiments.
Keywords :
Laplace equations; edge detection; feature extraction; image matching; image segmentation; Laplacian operator-based edge detector; edge detection; edge extraction; edge-matching model; optimal criteria; unsupervised thresholding technique; zero-crossing based edge detector; Accuracy; Detectors; Equations; Image edge detection; Optical detectors; Optical imaging; Laplacian operator; edge detection; mask; optimal criteria; thresholding;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744031