DocumentCode :
2329343
Title :
Application Research on Wavelet Analysis in Denoising of Visual Measurement Edge Detection
Author :
Ge, Youhua ; Lu, Qian ; Cui, ZHi
Author_Institution :
Sch. of Mech. Eng., Yancheng Inst. of Technol., Yancheng, China
Volume :
2
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
343
Lastpage :
346
Abstract :
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.
Keywords :
Fourier transforms; edge detection; image denoising; image sensors; wavelet transforms; Fourier transform method; binocular vision camera; visual measurement edge detection denoising; wavelet analysis application research; Algorithm design and analysis; Cameras; Image edge detection; Noise; Noise reduction; Visualization; Wavelet analysis; Edge Detection; Visual Measurement; Wavelet Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.188
Filename :
6079807
Link To Document :
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