マルチバンド画像による分光特性推定とその応用

Abstract

The spectral distributions of colors are estimated using a sensor system composed of 7 optical filters and a monochromatic CCD camera. The conversion coefficients for the camera outputs are determined by multiple regression analysis. The estimation ability is examined using 20 color patches and 12 natural objects. Then, the multi-band imaging technique is demonstrated to show the highly accurate detection ability. One of the experiments is the detection of human face regions. The detection of human face is sometimes difficult because there are objects that colors are very near to human faces in the image. The spectral distribution data can be used to distinguish human faces and near color objects. The other experiment is the detection of chromaticity vales of electronic displays. The spectral distributions of CRT displays are estimated and the chromaticity values are calculated by the spectral distributions. The errors of chromaticity values were very small compared to conventional RGB camera systems in a wide color space.