Abstract Aiming at the low accuracy in localization and sensitivity to noise in traditional edge detection algorithm, an algorithm of sub-pixel edge detection based on Gauss integral curve fitting is proposed. The gray value of discrete points on pixel edge normal section line is calculated with surface interpolation, and fitting Gauss integral curve, achieving accurate location of sub-pixel edge by searching the mean point of Gauss integral curve. Experiment with the gauge block line edge, and comparing with the existed sub-pixel edge detection algorithm, the experiment show that algorithm of sub-pixel edge detection based on Gauss integral curve fitting has high location accuracy, and can reach 1 μm, it also has high reliability and speed, and can be used for high precision measurement.
DUAN Zhen-yun,WANG Ning,ZHAO Wen-hui, et al. Algorithm of Sub-pixel Edge Detection based on Gauss Integral Curve Fitting[J]. Acta Metrologica Sinica, 2016, 37(4): 371-374.
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2016, Vol. 37 
