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An Automatic Framework For Embryonic Localization Using Edges In A Scale Space, Zachary Bessinger
An Automatic Framework For Embryonic Localization Using Edges In A Scale Space, Zachary Bessinger
Masters Theses & Specialist Projects
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 …