The incremented desideratum of content based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google's image search and photo album implements such as image search, Google's Picasa project applications in general gregarious networking environment, the hunt for practical, efficacious image search in the web context. Our application provides the color based image retrieval, utilizing features like dominant color. The color features are obtained through wavelet transformation and color histogram and the amalgamation of these features is robust to scaling and translation of objects in an image. The proposed system has established a promising and more expeditious retrieval method on a input image database containing more general purpose color images. The performance has been analysed by estimating with the subsisting systems in the literature.
By Dr. Aziz Makandar | Mrs. Rashmi Somshekhar | Miss. Nayan Jadav "Content Based Image Retrieval"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd24047.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/24047/content-based-image-retrieval/dr-aziz-makandar
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