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

Abstract

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY DEVELOPMENT OF CONTENT BASED IMAGE RETRIEVAL SYSTEM USING NEURAL NETWORK & MULTI-RESOLUTION ANALYSIS Jitendra Singh, Prof. Kailash Patidar, Mr. Gaurav Saxena M.Tech Scholar, Dept. of SE, SSSUTMS, Sehore, M.P., India Professor& Head, Dept. of CSE, SSSUTMS, Sehore, M.P., India Assistant Professor, Dept. of CSE, SSSUTMS, Sehore, M.P., India DOI: 10.5281/zenodo.61481 ABSTRACT 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.