Advances in feature selection methods for hyperspectral image processing in food industry applications: a review.

@article{Dai2015AdvancesIF,
  title={Advances in feature selection methods for hyperspectral image processing in food industry applications: a review.},
  author={Qiong Dai and Jun-Hu Cheng and Da-Wen Sun and Xin-An Zeng},
  journal={Critical reviews in food science and nutrition},
  year={2015},
  volume={55 10},
  pages={1368-82}
}
There is an increased interest in the applications of hyperspectral imaging (HSI) for assessing food quality, safety, and authenticity. HSI provides abundance of spatial and spectral information from foods by combining both spectroscopy and imaging, resulting in hundreds of contiguous wavebands for each spatial position of food samples, also known as the curse of dimensionality. It is desirable to employ feature selection algorithms for decreasing computation burden and increasing predicting… CONTINUE READING

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