RGB Color Correlation Index for Image Retrieval

The contents-based image retrieval (CBIR) is general type of retrieval which has been an active area of research for many years. The areas of image processing and pattern recognition used standard statistical techniques to estimate the degree to which two given patterns are correlated. The main focus of this study is on an image retrieval scheme that is based on the concept of maximum RGB color correlation index between images with promising results. The study sample included 1000 images of an image database. The algorithm is easy to implement. The data were analyzed by means of percentage average precision and recall. In summary, the image with maximum RGB color correlation index is the relevance image.