论文信息 - 3D imaging and visualization of biological microorganisms

3D imaging and visualization of biological microorganisms

In summary, the auto-focused 3D image from the SEOL digital hologram of a 3D microorganism by use of Fresnel transformation algorithms is reconstructed. The 3D images obtained with SEOL digital holographic microscopy have been segmented, feature-extracted and analyzed by digital image processing techniques. Then, the graph matching technique and the statistical sampling and inference algorithms have been applied to 3D morphology-based and shape-independent 3D recognition of biological microorganisms, respectively. Experimental results are presented to illustrate the robustness of the 3D recognition system

B. Javidi | I. Moon | S. Yeom

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