Optics and Precision Engineering, Volume. 22, Issue 6, 1622(2014)
Scale and directional correlation combined denoiseing in gear visual inspection
A visual inspection system for small modulus gears was established to realize their industry measurement. A de-noise algorithm based on scale-correlation and direction-correlation in Curvelet transform was proposed according to the de-noising demands in system calibration. First, the theory and process of the Curvelet transform were introduced. Then, according to the gear symmetry itself, a new combined algorithm for image de-noising based on Curvelet scale-correlation and direction-correlation was proposed, the corresponding parameters were calculated, and the processing results of the algorithm were compared under different noises. Finally, the algorithm was compared with 3 de-noise methods (Gaussian filter,Wavelet De-noise and Threshold De-noise). Experimental results indicate that the Peak Signal to Noise radio(PSNR) from the combined algorithm proposed is 6 db, 3 db and 8 db better than those of Gaussian filter, Wavelet De-noise and Threshold De-noise, respectively. It maintains good image edges and satisfies the image quality requirements of camera self-calibration in visual inspection systems for small modulus gears.
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YE Shu-liang, ZHANG Yu-de, ZHANG Wei. Scale and directional correlation combined denoiseing in gear visual inspection[J]. Optics and Precision Engineering, 2014, 22(6): 1622
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Received: Nov. 1, 2013
Accepted: --
Published Online: Jun. 30, 2014
The Author Email: Yu-de ZHANG (zyck072@126.com)