Content Based Image Retrieval System over Hadoop Using MapReduce (original) (raw)

International journal of scientific research in science, engineering and technology, 2016

Abstract

A huge amount of image data is generated everyday due to rapid evolution of image capturing devices. Information associated to images has got diversified applications. The medical imaging systems produce more and more digitized images in all medical fields. Most of these images are stored in image databases. There is a great interest to use them for diagnostic and clinical decision such as case-based reasoning. The purpose is to retrieve desired images from a large image databases using only the numerical content of images. CBIR system (Content-Based Image Retrieval) is one of the possible solutions to effectively manage image databases. Furthermore, fast access to such a huge database requires an efficient computing model. The Hadoop framework is one of the findings based on MapReduce distributed computing model. Lately, the MapReduce framework has emerged as one of the most widely used parallel computing platforms for processing data on terabyte and petabyte scales. It can able to provide more accurate results to the users. Therefore we are introducing a new method for retrieving images called as “CBIR over Hadoop using Map Reduce.”

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