An Effective Content Based Image Retrieval (CBIR) System based on Model Approach

Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision. Content-based image retrieval (CBIR) systems are used in order to automatically index, search, retrieve and browse image databases. Color and texture features are important properties in content-based image retrieval systems. This paper introduces a Effective Content Based Image Retrieval (CBIR) based on Model Approach. Initially, the color, shape, edge and texture feature of query image is extracted using different algorithms and also for the database images is extracted in a similar manner. Subsequently, similar images are retrieved utilizing a combination of above features. And finally Model Approach [1] is applied which improved efficiency of system. Thus, by means of the Effective Content Based Image Retrieval (CBIR) based on Model Approach, the required relevant images are retrieved from a large database based on the given query. The proposed CBIR system is evaluated by querying different images and the efficiency of the proposed system is evaluated by means of calculating different parameters to test the efficiency of different techniques and the combination of them to improve the performance of the retrieved results.