Data Fusion is a process of combining the relevant information from a set of volumes into a single volume, where the resultant fused volume will be more informative and complete than any of the input volumes. The method of color data fusion proposed improves the quality and the information content of the final volume, highlighting the details and differences with color support.

Starting from a data fusion based on RGB color representation the goal is to demonstrate how results can be improved thanks to an accurate and adaptive choice in the criteria that decide which image and processing, to associate at each color channel. This aspect represents a novel approach since, usually, in the literature the choice of the associations is random.