An efficient image retrieval based on an integration of HSV, RLBP, and CENTRIST features using ensemble classifier learning

Recently, we have been witnessing a tremendous rise in digital image quantities, which in return calls for an adjustment and management system to fulfill user’s queries in the shortest time with maximum accuracy. In this regard, Content-Based Image Retrieval (CBIR) approaches have gained unprecedented attention. In CBIR systems, image search is based on their actual contents instead of textual annotations. Due to the fact that users do not think...