From many centuries philosophers, researchers and scientists have enough explored the domain of digital image
processing and the nature of color. More recently, philosophers have enriched the debate about Automatic methods
for searching image collections that make wide use pixel level image processing methods that are robust to large
changes in viewpoint, and can be computed trivially. However, older methods like histograms fail to incorporate
semantic information, and therefore tend to give vague results. This paper introduces a new domain of colorimetry
to extract the actual descriptions of color related with objects, materials, light sources, etc. When results is presented
over the platform of semantic web and implemented as ontology strength the path of automated decision making
tools in digital image processing for image annotation and searching.