Monocular Microscopic Image 3D Reconstruction Algorithm based on Depth from Defocus with Adaptive Window Selection

At present, in the field of microscopic measurement, 3D reconstruction of microscopic objects is still a challenging topic. Considering the characteristics of microscopy imaging, such as high complexity and the limited depth of field, this paper applies a 3D reconstruction algorithm based on the depth from defocus (DFD) technique. In DFD, focus measure plays an important role. However, there is a limit in traditional focus measure, which is that a fixed window has been used at each stage of focus measure in DFD. A smaller window is unable to cover enough field information in the case of smoothness or less texture. Whereas, a lager window may over-smooth or distort the shape of object. Based on these factors, without using a fixed window, this paper proposed a scheme selecting adaptive windows for 3D reconstruction. Comprehensive verification experiments with image sequences of real objects have reported the effectiveness of the proposed algorithm.