Many difficulties of color image processing may be resolved using specific color spaces. The problematic when discussing about image database is the same: in which color space a method will be the most effective. We present classical color spaces, and a tool able to represent images in these spaces in order to analyze which color space is the most relevant on the studied images. Secondly we will introduce hybrid color spaces. The basic idea of hybrid color spaces is to combine several color components from different color spaces in order to increase the effectiveness of color components to discriminate color data, and to reduce correlation rate between color components. Generally computed from an unique image we propose an extension of hybrid computation to generate Hybrid color space from image database. The main idea is to use a set of images as a unique image, and to realize statistical computation on this “virtual” image. Finally, we will present a system able to manage hybrid color space generation on images set, using Icobra and ColorSpace tools.