DocumentCode
1673393
Title
Topological Proteomics Image Segmentation Based on a Genetic Algorithm
Author
Cai, Nian ; Xu, Shaorui ; Tang, Xiaoyan ; Li, Fangzhen
Author_Institution
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
fYear
2008
Firstpage
2489
Lastpage
2491
Abstract
With the development of multi-epitope-ligand-kartographie (MELK) technology, topological proteomics is attracting more and more researchers nowadays. The segmentation of MELK images is one of crucial steps to automatically analyze topological proteomics. MELK images are preprocessed based on entropy, then a genetic algorithm is applied to segment selected MELK images. The experimental results indicate that it is feasible to segment MELK images with the proposed method.
Keywords
biochemistry; entropy; genetic algorithms; genetics; image segmentation; medical image processing; molecular biophysics; proteins; entropy; genetic algorithm; image segmentation; multiepitope-ligand-kartographie technology; topological proteomics; Biological cells; Entropy; Genetic algorithms; Image analysis; Image coding; Image processing; Image segmentation; Optimization methods; Proteins; Proteomics;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.955
Filename
4535835
Link To Document