Content based image retrieval using combined features

In this paper a novel approach for image retrieval based on semantic contents is presented. A combination of three feature extraction methods namely color, texture, and edge histogram descriptor. Any combination of these methods, which is more appropriate for the application, can be used for retrieval. For color the histogram of images are computed, for texture co-occurrence matrix based entropy, energy, etc, are calculated and for edge density it is Edge Histogram Descriptor (EHD) that is found. For retrieval of images, an idea is based on greedy strategy to reduce the computational complexity. The entire system will be developed using MALAB (an open source product), The system will be tested with Image database containing 1000 natural images.