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Band selection for biomedical hyperspectral data studies using genetic algorithms

  • Chunni Dai*
  • , Qingli Li
  • , Jingao Liu
  • *此作品的通讯作者
  • East China Normal University
  • Guangxi University for Nationalities

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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.

源语言英语
主期刊名3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOI
出版状态已出版 - 2009
活动3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, 中国
期限: 11 6月 2009 → 13 6月 2009

丛书

姓名3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

会议

会议3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
国家/地区中国
市Beijing
时期11/06/09 → 13/06/09

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