Abstract: Image retrieval is an emerging research area for multimedia database. It is the basic requirement task in the present scenario. Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. This paper experiments various methods available for Content based image retrieval System, they are precision, recall and accuracy value for Bag of Visual words, Color and Edge Directive Descriptors, Fuzzy Color and Texture Histogram. The Extraction of an image includes feature description, index generation and feature detection. The methods are implemented and tested based on three parameters like precision value, recall value and Accuracy rate. The Experimental results show that FCTH (Fuzzy Color and Texture Histogram) method is more efficient when comparing with other methods.
Keywords: Content Based Image Retrieval; Fuzzy Color histogram; Edge Directive Descriptors; Similarity measure.