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《Computer Engineering》 2009-02
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Edge Detection Algorithm Based on Facet Model

SUI Lian-sheng,WANG Hui(College of Computer Science and Engineering,Xi'an University of Technology,Xi'an 710048)  
The localization of a part's edges and the speed of the image are important factors in detecting the size of the part with a CCD image measurement system.An integrated gradient edge detecting algorithm based on the Facet model is studied in this paper.For the low efficiency and low localization,a dynamic thresholding method is used for enhancing the precision of localization,and an accelerated method is provided for computing 2D Facet model.It reduces the computation complexity from()O i 2 to O(2i)by decomposing the 2D convolution mask to two 1D masks.The principle of the algorithm is analyzed,and the experiments for detecting the edges of some images are finished.The images include an ideal image without noise and a practical image of a circuit board.With experimental results,it is known that the algorithm in this paper can reduce the effects of image noise availably and preferable edges are detected,and it is able to improve the speed of the computation.
【CateGory Index】: TP391.41
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