Appearance Based Stage Recognition of Drosophila Embryos

Stages in Drosophila development denote the time after fertilization at which certain specific events occur in the developmental cycle. Stage information of a host embryo, as well as spatial information of a gene expression region is indispensable input for the discovery of the pattern of gene-gene interaction. Manual labeling of stages is becoming a bottleneck under the circumstance of high throughput embryo images. Automatic recognition based on the appearances of embryos is becoming a more desirable scheme. This problem, however, is very challenging due to severe variations of illumination and gene expressions. In this research thesis, we propose an appearance based recognition method using orientation histograms and Gabor filter. Furthermore, we apply Principal Component Analysis to reduce the dimension of the low-level features, aiming to accelerate the speed of recognition. With the experiments on BDGP images, we show the promise of the proposed method.

Name thesis:degree_name

Master of Science

Discipline thesis:degree_discipline

Department of Mathematics and Computer Science

Year

2010

Author dc:creator

• Nutakki, Gopi Chand

Contributors dc:contributor

• Dr. Qi Li (Director), Dr. Guangming Xing, Dr. James Gary

• Gabor filter
• gene expression
• standardized embryonic images
• Computational Biology
• Genetics
• Numerical Analysis and Scientific Computing

Repository record dc:identifier

https://digitalcommons.wku.edu/theses/217

OAI identifier oai:identifier

oai:digitalcommons.wku.edu:theses-1222