Band Selection for Biomedical Hyperspectral Data Studies Using Genetic Algorithms

摘要：

Hyperspectral imaging coupled with microscopy has been introduced for biomedicine science recently. As hyperspectral data cube include a great deal of single-band images, an adaptive genetic algorithm is presented to solve the best band combination problem for hyperspectral biomedical image studies in this paper. Simulation result demonstrates the effect of this algorithm to the hyperspectral image of leukemia blood cell.

关键词： hyperspectral imaging band combination genetic algorithm

作者: Chunni Dai Qingli Li Jingao Liu Chunni Dai

作者单位: Key Laboratory of Polor Materials and Devices School of Information Science & Technology East China College of Physics and Electronic Engineering Guangxi University for Nationalities Nanning,Guangxi 5

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）