Research on Directional Filtering Methods in Non-Contact Measurement Based on Conoscopic Holography Ren Shuyan, Zhang Zhuo, Liu Guodong, Pu Zhaobang (Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150001, Heilongjiang) Source: Optoelectronics·Laser Abstract: Aiming at the situation that there is a lot of speckle noise on the image with good directional characteristics measured by the conoscopic holographic non-contact measurement system, various directional filtering methods are analyzed, and an improved average curvature nonlinear diffusion filtering method is proposed. This method uses the curvature of the image plane for diffusion filtering, which can more effectively maintain the image edge. At the same time, the linear variation factor introduced greatly speeds up the filtering processing speed of the image. Experiments have shown that this algorithm can filter out noise interference well and meet the real-time measurement requirements of the conoscopic holographic system.
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