Paper
29 August 2006 Real-time automated 3D visualization and recognition of biological microorganisms
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Abstract
We address the optical system for three-dimensional (3D) sensing, visualization and recognition of biological microorganisms. A digital holographic microscopy records Fresnel digital hologram of the biological microorganism. 3D image of the biological microorganism is computationally reconstructed by inverse Fresnel transformation of the digital hologram. For 3D recognition, two methods are presented. One is 3D morphology-based recognition and the other is based on statistical estimation and inference algorithms.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Inkyu Moon, and Seokwon Yeom "Real-time automated 3D visualization and recognition of biological microorganisms", Proc. SPIE 6311, Optical Information Systems IV, 631103 (29 August 2006); https://doi.org/10.1117/12.684531
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Cited by 1 scholarly publication.
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KEYWORDS
Microorganisms

Digital holography

Image segmentation

3D image processing

Holograms

3D image reconstruction

Holography

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