A Novel Approach for Content Based Image Retrieval

In this paper, the problem of content based image retrieval in dynamic environment is addressed. It is not feasible for systems that analyze images in real-time where the images are stored or added on an ongoing basis. In this paper, the authors propose a framework which is able to select the most appropriate features to analyze newly received images thereby improving the retrieval accuracy and efficiency. An improved algorithm is proposed here. The algorithm comprises of designing feature vectors after segmentation which will be used in similarity comparison between query image and database images. The framework is trained for different images in the database. The proposed algorithm has been tested on various real images and its performance is found to be quite satisfactory when compared with the performance of conventional methods of content based image retrieval.