Advisor(s) - Committee Chair
Qi Li (Director), Guangming Xing, James Gary
Department of Computer Science
Master of Science
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.
Computer Sciences | Entomology | Genetics | Software Engineering
Bessinger, Zachary, "An Automatic Framework for Embryonic Localization Using Edges in a Scale Space" (2013). Masters Theses & Specialist Projects. Paper 1262.