A voluminous survey on Content based image retrieval

The amount of images or the pictorial data is growing day by day with the expansion of internet services. As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. So nowadays the content based image retrieval is becoming a source of exact and fast retrieval. . It is very difficult for the users to retrieve the required images using a operative and efficient mechanism. There are many techniques which are used to retrieve the images depending upon the requirement of different applications. This paper provides an extensive review of various latest research work and methodologies applied in the field of CBIR. Images are retrieved on the basis of automatically derived features such as, texture, shape and color which is generally referred to as Content-Based Image Retrieval (CBIR). Content based image retrieval is an important research area in image processing, with a vast domain of applications like recognition systems i.e. finger, face, biometrics, medical sciences etc. However, the technology still lacks maturity, and is not yet being used on a significant scale. In the absence of hard evidence on the effectiveness of CBIR techniques in practice, opinion is still sharply divided about their usefulness in handling real-life queries in large and diverse image collections.