A Sub-Pixel Localization Algorithm on the Basis of Gauss Curve Fitting in Gradient Direction
Ni Zhao, Chun Xian Fu · Advanced materials research · 2011
The most important thing of the detection system is the locating accuray of the pattern edge. With respect to the conventional sub-pixel localizaton algorithm and the irregular edge of the target image, a Gauss curve fitting edge localization algorithm in gradient direction is presented based on the Sobel operator and the usual curve fitting edge localization algorithm; according to a gradient distribution of a target image, a Gauss curve is used to fit defected edges so as to realize sub-pixel location of the edges. Experiments demonstrate that the proposed method is rightness and effectiveness, can obviously improve the accuracy of edge localization and target recognition.