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
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;
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
DOI :
10.1109/ICBBE.2008.955
