基于SLM的显微立体遮挡校正

With feed-back vision the binocular micro stereovision system based on stereo light microscope (SLM) makes it possible to achieve 2D/3D high accuracy auto-positioning, 3D information extraction, 3D shape reconstruction and 3D measurement. Therefore, it is extensively used in micromanipulation, micro assembly, micro robot navigation and bioengineering, etc. Based on optical theory and digital image processing，the micro stereo imaging principle of SLM is studied and a micro stereo occlusion correction algorithm is founded to achieve microfluidic chips detection task. This method draws essential character of occlusion and weak nonlinear character of the weak disparity micro stereovision model and excavates depth information which is transformed from 2D image space to 3D object space. Moreover, the depth information of occluded part can also be recovered successfully.