Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization

@inproceedings{Monteiro2005ExtractionOH,
  title={Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization},
  author={Sildomar Takahashi Monteiro and Kuniaki Uto and Yukio Kosugi and Naoki Kobayashi and Eiju Watanabe and Keisuke Kameyama},
  year={2005}
}
In this paper, an intraoperative application of a particle swarm optimization based feature extraction algorithm for hyperspectral imagery data visualization is proposed. The objective of the algorithm is to extract the features that generate the best visualization of an area covered by blood. The proposed method uses a binary version of a particle swarm optimizer to select a subset of band wavelengths in the nearinfrared region, in which the optical absorption characteristics of blood allows… CONTINUE READING