Peer-Reviewed Journal Details
Mandatory Fields
McElhinney, CP;McDonald, JB;Castro, A;Frauel, Y;Javidi, B;Naughton, TJ
2007
May
Optics Letters
Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms
Published
42 ()
Optional Fields
RECONSTRUCTION
32
1229
1231
We present a technique for performing segmentation of macroscopic three-dimensional objects recorded using in-line digital holography. We numerically reconstruct a single perspective of each object at a range of depths. At each point in the digital wavefront we calculate variance about a neighborhood. The maximum variance at each point over all depths is thresholded to classify it as an object pixel or a background pixel. Segmentation results for objects of low and high contrast are presented. (c) 2007 Optical Society of America.
WASHINGTON
0146-9592
Grant Details