Publication Date
5-2013
Advisor(s) - Committee Chair
Qi Li (Director), Guangming Xing, James Gary
Degree Program
Department of Computer Science
Degree Type
Master of Science
Abstract
Localization of Drosophila embryos in images is a fundamental step in an automatic computational system for the exploration of gene-gene interaction on Drosophila. Contour extraction of embryonic images is challenging due to many variations in embryonic images. In the thesis work, we develop a localization framework based on the analysis of connected components of edge pixels in a scale space. We propose criteria to select optimal scales for embryonic localization. Furthermore, we propose a scale mapping strategy to compress the range of a scale space in order to improve the efficiency of the localization framework. The effectiveness of the proposed framework and the scale mapping strategy are validated in our experiments.
Disciplines
Computer Sciences | Entomology | Genetics | Software Engineering
Recommended Citation
Bessinger, Zachary, "An Automatic Framework for Embryonic Localization Using Edges in a Scale Space" (2013). Masters Theses & Specialist Projects. Paper 1262.
https://digitalcommons.wku.edu/theses/1262
Included in
Entomology Commons, Genetics Commons, Software Engineering Commons