A Survey on Content Based Image Retrieval System Using HADOOP

Content-based image retrieval (CBIR) - an application of computer vision technique, addresses the problem in searching for digital images in large databases. This emerging approach includes the Local Binary Pattern (LBP), Local Derivative Pattern (LDP), Local Ternary Pattern (LTP) and Magnitude Pattern. The ability to handle very large amounts of image data is important for image analysis and retrieval applications. With digital explosion of image databases over internet pose a challenge to retrieve images that are relevant to user query efficiently and accurately. It becomes increasingly important to develop new CBIR techniques that are effective and scalable for real time processing of very large image collections. Content based image retrieval system based on Hadoop, proposed a solution for a large database of images which provides secure, efficient and effective search and retrieve the similar images of Query image from the database with the help of a Local Tetra Pattern (LTrPs) for Content Based Image Retrieval (CBIR).