A rapid method of hypercube stitching for snapshot multi-camera system

Abstract

Snapshot hyperspectral imaging (HSI) systems are rapid and ultra-compact making them potential candidate for real-time food analysis. However, the existing technology limits the working wavelength range of these cameras requiring multiple cameras to cover a wider spectral range. We present a rapid hypercube stitching method which generates an efficiently stitched hypercube from two different HSI cameras providing a wider spectral range as well as spatial information. It shows reliability and robustness over the manual stitching. The method was able to successfully stitch respective hypercubes from near-infrared (NIR) and visible (Vis) cameras producing much lower number of non-overlapping pixels between the hypercubes then would be possible with manual stitching. We demonstrate the application of our method for stitching the hypercubes (NIR and Vis) for 32 beef samples analyzing the stitching efficiency and reliability of spectral information.