Masters Theses
Date of Award
12-2011
Degree Type
Thesis
Degree Name
Master of Science
Major
Computer Science
Major Professor
J. Douglas Birdwell
Committee Members
Tse-Wei Wang, Roger Horn
Abstract
This Master of Science thesis reviews previous research, proposes a method anddemonstrates proof-of-concept software for the automated matching of pollen grainimages to satisfy degree requirements at the University of Tennessee. An ideal imagesegmentation algorithm and shape representation data structure is selected, alongwith a multi-phase shape matching system. The system is shown to be invariantto synthetic image translation, rotation, and to a lesser extent global contrast andintensity changes. The proof-of-concept software is used to demonstrate how pollengrains can be matched to images of other pollen grains, stored in a database, thatshare similar features with up to a 75% accuracy rate.
Recommended Citation
Haas, Nicholas Quentin, "Automated Pollen Image Classification. " Master's Thesis, University of Tennessee, 2011.
https://trace.tennessee.edu/utk_gradthes/1113
