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2 September 2009 Segmentation and visualization of digital in-line holographic microscopy of three-dimensional scenes using reconstructed intensity images
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Abstract
This paper demonstrates a technique that could prove useful for extracting three-dimensional (3D) models from a single two-dimensional (2D) digital in-line holographic microscopy (DIHM) recording. Multiple intensity images are reconstructed at a range of depths through a transmissive or partially transmissive scene recorded by DIHM. A two step segmentation of each of these reconstructed intensity images facilitates the construction of a data set of surfaces in 3D. First an adaptive thresholding step and then a border following step are implemented. The surfaces of segmented features are rendered in 3D by applying the marching cubes algorithm to polygonize the data set. Experimental results for a real world DIHM capture of a transmissive glass sample are presented to demonstrate this segmentation and visualization process.
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Karen M. Molony, James P. Ryle, Susan McDonnell, John T. Sheridan, and Thomas J. Naughton "Segmentation and visualization of digital in-line holographic microscopy of three-dimensional scenes using reconstructed intensity images", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431F (2 September 2009); https://doi.org/10.1117/12.826832
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