2017-18
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Browsing 2017-18 by Author "ALLABAKSH, KARAJGI"
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Item Content Based Image Retrieval System(2018-06-19T09:59:25Z) ROHAN BABU, M; SHAKTHIVELU, A; ALLABAKSH, KARAJGI; RIYAZ, KDigital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions digital image processing may be model in the form of multidimensional systems. Applications using the images require that the noise be removed making noise removal an important aspect in the image processing. There exist a number of filtering techniques that deal with the noise removal that are included in image enhancement - a preprocessing stage in DIP, some of these may be nonlinear filters. They are usually implemented in software that tends to become slow with increasing image sizes and the bit depths. This project presents "Content Based Image Retrieval". Content-based image retrieval (CBIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Images are given as input instead of text for efficient way of searching and this reduces time consumption. Applicable to search engines of different fields like marketing, medical etc. The software versions of the algorithms are developed in MATLAB to perform the searching and retrieving the images. MATLAB is a high-level language for numerical computation, visualization and application development and it also provides an interactive environment for iterative exploration, design and problem solving.