Application Research on Wavelet Analysis in Denoising of Visual Measurement Edge Detection

摘要

Aiming at the deficiencies of using traditional Fourier transform method to denoise the image data of visual measurement edge detection, the application on wavelet analysis in denoising of visual measurement edge detection. The three-dimensional model of visual measurement based on binocular vision camera was built up firstly, of which on the basis, the wavelet analysis method was used to combine with the model, and the wavelet threshold improved algorithm was pointed out, and after simulation experiment and application of confirmatory experiment, the results of both of the two experiments show that the improved algorithm has better effect of reducing noise, and it could filter out random noise effectively. All this work is significative for further improving the accuracy of vision measurement edge detection.