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Band Selection for Biomedical Hyperspectral Data Studies Using Genetic Algorithms

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3 Author(s)
Chunni Dai ; Key Lab. ofPolor Mater. & Devices, East China Normal Univ., Shanghai, China ; Qingli Li ; Jingao Liu

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.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009