Abstract
Concerning the low accuracy in localization and sensitivity to noise in traditional edge detection algorithms,a sub-pixel edge detection algorithm based on function curve fitting,Gauss fitting of gradient direction sub-pixel edge detection algorithm was proposed.This method firstly chosed a series of points near the edge,then got the grey level of these points,and then tried to get the gradient level of these points.Then Gauss curves were used to fit the gradient levels of these points.Finally the axis of the Gauss curves was got by fitting,and the position of axis would be the sub-pixel edge position.The experimental results show that this algorithm can localize the sub-pixel edge position accurately.The comparision with other two algorithms shows that the running time of this algorithm is shorter,and the efficiency is relatively higher.
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