Publication Date
2008
Document Type
Dissertation
Committee Members
Michael Bryant (Committee Member), Fred Garber (Committee Member), Lang Hong (Committee Member), Randolph Moses (Committee Member), Brian Rigling (Advisor)
Degree Name
Doctor of Philosophy (PhD)
Abstract
Optical tomosynthetic imaging of 3-D objects from disparate 2-D images has been limited in the past by a lack of algorithmic enforcement of physical constraints, in particular within-scene obscuration and object self-occlusion. This paper presents a stochastic observation model of a tomosynthetic collection that explicitly includes an obscuration operator that is unknown by the sensor. The expectation-maximization algorithm is used to iteratively estimate the obscuration operator and to reconstruct the 3-D volume of interest. Explicit inclusion of obscuration effects greatly enhances the spatial and spectral accuracy of 3-D results without use of costly post-processing techniques. Performance metrics are introduced and the resultant receiver operating characteristics are presented.
Page Count
43
Department or Program
Ph.D. in Engineering
Year Degree Awarded
2008
Copyright
Copyright 2008, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
