A least-squares approach to the planimetric analysis of color scenes is furnished. The technique involves parallel processing in that all image points are involved simultaneously at every step of the processing. It is assumed that each object in the color scene has a unique spectral (color) signature. The end result of the processing is a vector whose components are the areas covered by the different objects in the scene. The technique requires only a simple optical system and can be easily automated. Procedures for finding the signatures that minimize the error variance are investigated. The theory is illustrated with a laboratory example.
D. Lee and H. Stark, "Planimetric analysis of color images using least-squares and related algorithms," J. Opt. Soc. Am. 65, 191-196 (1975)