An Automatic Framework for Embryonic Localization Using Edges in a Scale Space
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 local...
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| Format: | Others |
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TopSCHOLAR®
2013
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| Online Access: | http://digitalcommons.wku.edu/theses/1262 http://digitalcommons.wku.edu/cgi/viewcontent.cgi?article=2265&context=theses |
| Summary: | 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. |
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