Title:
Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data
Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data
Author(s)
Karasev, Peter A.
Advisor(s)
Vela, Patricio A.
Tannenbaum, Allen R.
Tannenbaum, Allen R.
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Abstract
This thesis is divided into five chapters. The scope of problems considered is defined in chapter I.
Next, chapter II provides background material on image processing with
partial differential equations
and a review of prior work in the
field. Chapter III covers the medical imaging portion of the research;
the key contribution is a control-based algorithm for interactive image
segmentation. Applications of the feedback-augmented level set method to fracture reconstruction and surgical planning are shown. Problems in vision-based control are considered in Chapters IV and V. A method of improving performance in closed-loop target tracking using level set
segmentation is developed, with unmanned aerial vehicle or
next-generation missile guidance being the primary applications of interest.
Throughout this thesis, the two application types are connected into a
unified viewpoint of open-loop systems that are augmented by exogenous data.
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Date Issued
2013-08-22
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Resource Type
Text
Resource Subtype
Dissertation