title: Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital holograms.
abstract: 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.
authors: Department of Computer Science, National University of Ireland, Maynooth, County Kildare, Ireland. conormce@cs.nuim.ie
authors: Conor P
authors: CP
authors: McElhinney
authors: John B
authors: JB
authors: McDonald
authors: Albertina
authors: A
authors: Castro
authors: Yann
authors: Y
authors: Frauel
authors: Bahram
authors: B
authors: Javidi
authors: Thomas J
authors: TJ
authors: Naughton