Color visualization system for near-infrared multispectral images

In this paper, we analyze a color visualization system for multispectral images belonging to the near-infrared region (NIR, 800-1000 nm). Samples with the same appearance in the visible region can differ in the NIR and can be differentiated by taking into account the extra information included in this region. Using a multispectral system, five different images of textile samples with varying spectral reflectance are obtained. The aim of the study is to analyze how the monochromatic images or spectral bands of the samples (with only a few shades of gray) should be combined in order to obtain a false pseudocolored image (with a large range of different colors). With the color image. it is possible to discriminate clearly between different objects. In order to achieve this separation, it is necessary to define a color space representation. In this paper, several possible combinations based on different methods are presented. The pseudocolored images are then visualized on a calibrated CRT monitor. Finally, the color differences between samples are evaluated using several parameters. The methods which provide the best results in terms of visual discrimination are based on PCA analysis.