Comparative Study of different algorithms in CBIR technique

Image Retrieval

In this era of technology advancement, the challenges with respect to delivering right content with accuracy to the user as quick as possible has also extended to some other level. The amount of data which is originated by millions of users in multiple forms like text, video, images has always been a tough task to collaborate at a location and generate information from those data generated at a huge amount. These millions of data require large databases to store them at a location for further usage. In this paper the most prominent of these types of form of data transfer is being discussed i.e. Image. The process of Image Retrieval has become an active research topic because of its application in many fields like Biometric systems, Image Search Engines, Digital Libraries, Medical Records etc. Large databases are also been built in order to store these images. Origin of these images are from multiple equipment tools that are in use in industries like Graphic Design, crime prevention medicine, engineering design and architectural, etc. In order to process these images, image processing tools and techniques are applied. The mechanism used to fetch images from large database of images is called Image Retrieval. Multiple algorithms are being implemented for multiple problems which are faced by users at the time of fetching the precise results. If talking in terms of Correlation coefficient which explains about the closeness between the actual image and modified image. The Colour being the most important ingredient in identifying and generating the correct result back to the user. The Colour histogram generates a graph which shows the proportion of pixels in the image. The Histogram plays an important role when it comes to aspects like transition, rotation of image. CBIR (Content based image Retrieval) technique is one of the most prominent technique which is very effective in the process of Image Retrieval. Images being combination of pixels comprises of multiple aspects like texture, rotation, colour combinations that help in generating the image as per user requirement. Multiple algorithms are being implemented and evolved in the technique in order to generate results depending upon the queried image. The processes that are carried out in CBIR technique helps in easing of work with respect to images in multiple arenas like medical, crime detection, agriculture, Search Engines and many more.

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