Color Correction for Object Identification from Images with Different Color Illumination

This paper presents a novel color correction method for automatic detection of identical objects from images captured in different environments. The proposed method extracts illumination color features using the color board image captured in each illumination and defines conversion vectors from a source illumination to a target illumination in the pre-processing step. In the color correction step, we apply the conversion vectors to RGB elements of each pixel in the object image. In the experiments, we captured two images including a color palette and three target objects in different illumination conditions. We define one image as a source and the other as a target. Illumination conversion vectors for the color correction are defined based on the difference between two color palette images and applied to the source image. In order to evaluate the performance of the proposed color correction, we compared the color differences of identical objects in target, source and corrected images.