DocumentCode
3402461
Title
Localization of Drosophila embryos using connected components in scale space
Author
Bessinger, Z. ; Guangming Xing ; Qi Li
Author_Institution
Dept. of Math. & Comput. Sci., Western Kentucky Univ., Bowling Green, KY, USA
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
497
Lastpage
500
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. In this paper, we introduce a localization framework based on the analysis of connected components in the Gaussian scale space of an embryonic image. We propose three criteria for the selection of the optimal scale. The experiment results show the promise of the proposed methods.
Keywords
Gaussian processes; biology computing; genetics; image processing; Drosophila embryo localization; Gaussian scale space; automatic computational system; connected components analysis; embryonic image; gene-gene interaction; localization framework; optimal scale selection; Bioinformatics; Embryo; Feature extraction; Gene expression; Mathematical model; Minimization; Shape; Localization; connected component; scale selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6466905
Filename
6466905
Link To Document