Need to obtain the target image measurement and other engineering applications, high-precision image edge information. This paper first introduces a sub-pixel edge detection algorithm based on the Facet model, the noise immunity, high precision positioning, but the computational complexity too high. this shortcoming, this paper, an improved algorithm, Mallat wavelet transform modulus maxima algorithm effective combination, not only the processing speed of about 10 times, and extracted the edge effect is also improved. The experimental results show that this method can not only get to the edge of the high-precision, noise immunity, and processing speed.

改进的基于Facet模型的亚像素边缘检测.caj

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