A background correction method to compensate illumination variation in hyperspectral imaging.

ABSTRACT: Hyperspectral imaging (HSI) can measure both spatial (morphological) and spectral (biochemical) information from biological tissues. While HSI appears promising for biomedical applications, interpretation of hyperspectral images can be challenging when data is acquired in complex biological environments. Variations in surface topology or optical power distribution at the sample, encountered for example during endoscopy, can lead to errors in post-processing of the HSI data, compromising disease diagnostic capabilities. Here, we propose a background correction method to compensate for such variations, which estimates the optical properties of illumination at the target based on the normalised spectral profile of the light source and the measured HSI intensity values at a fixed wavelength wh

SUBMITTER: Yoon J 

PROVIDER: S-EPMC7069652 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature