Evaluating Normalization Methods for Robust Spectral Performance Assessments of Hyperspectral Imaging Cameras.

ABSTRACT: Hyperspectral imaging (HSI) technology, which offers both spatial and spectral information, holds significant potential for enhancing diagnostic performance during endoscopy and other medical procedures. However, quantitative evaluation of HSI cameras is challenging due to various influencing factors (e.g., light sources, working distance, and illumination angle) that can alter the reflectance spectra of the same target as these factors vary. Towards robust, universal test methods, we evaluated several data normalization methods aimed at minimizing the impact of these factors. Using a high-resolution HSI camera, we measured the reflectance spectra of diffuse reflectance targets illuminated by two different light sources. These spectra, along with the reference spectra from the target manuf

SUBMITTER: Mazdeyasna S 

PROVIDER: S-EPMC11763101 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature