Image Classification in Content-Based Image Retrieval Systems Based on First Order Color Histogram Features
Abdur Rahman Anas, T. Sravanthi · 2014
Image Classification in Content-Based Image Retrieval Systems has to be fast and simple in order to provide most efficient color based searches. In order to obtain this in this paper a new approach is introduced based on first order Color histogram features. The main advantage of this method is the very quick generation and comparison of the applied feature vectors. In CBIR systems computation has to be fast and efficient hence primitive features are selected as they can easily generate and compute the applied feature vectors and feature spaces. Our results illustrate the efficacy of loop approach to image characterization and the ability of our approach to adapt the retrieval process image domain through the application of machine learning algorithms.