Building an Efficient Content Based Image Retrieval System by Changing the Database Structure

Content Based Image Retrieval (CBIR) is still a major research area due to its complexity and the growth of the image databases. Color Based Image Retrieval is one of the major retrieval methods in Content Based Image Retrieval systems. At present, researchers combine image retrieval techniques to get more accurate results. With the large image databases, image retrieval is still a challenging area and the efficiency of the image retrieval techniques still need to be considered. For this purpose, a comparative study of image retrieval techniques has been discussed in this paper. In addition, an efficient method is presented which aids to retrieve images by storing an intermediate result of the process in the database. To compare the query image and the images in the database, Euclidean distance, Normalized Cross Correlation distance and Histogram Intersection distance are taken as distance measures. Experimental results demonstrate Histogram Intersection distance is better than the other two methods. The intermediate result was stored using an event in the system. By making minor modifications to the proposed system, it creates a possibility for the user to add images to the database just by clicking on a button. Thus, the user can expand his/her database on his/her own will. Results show a significant improvement of performance in the proposed method

DEVELOPMENT OF CONTENT BASED IMAGE RETRIEVAL SYSTEM USING NEURAL NETWORK & MULTI-RESOLUTION ANALYSIS

In a content-based image retrieval system, the image features that effectively represent the image contents in a database. CBIR is the technique which uses visual contents to search images from large scale image databases according to the user’s interest. In the term content refers to shape, texture color, that can be derived from the image. In this paper an image retrieval technique using neural network (NN) in MATLAB with the help of Wavelet transform and Gabor filter features is contemplated. In the proposed system, mean and standard deviation of the images are calculated later to the filtering process of the images using Gabor filter