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Evaluation of Content Based Image Retrieval Systems Based on Color Feature

The inevitable growth in computer field brought a significant increase for storing large amount of images along with different kinds of complexity aspects. The need for efficient storage and retrieval of images has been recognized by having large image collections in the areas such as medicine, journalism, education, entertainment, advertisement, commerce, etc. The process of retrieving desired images from a large collection of images on the basis of features is referred as Content Based Image Retrieval (CBIR) Systems. This paper deals an assessment methodology for CBIR systems with the help of a set of distance metrics. This quantitative evaluation scheme consists of statistical models that provide an insight in assessing the capability of different CBIR systems. This model also serves as a reference for selecting particular CBIR system for any particular application domain.