A Study for Searching an Image through Content Features
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Abstract
There is different methods of searching an image from database. Most methods use keywords for image retrieval. It is easy to search an image from small database consisting of 10 to 20 images. Even human beings can search easily. But problems come when we have to search an image from a huge database, (say) from 10000 or more images. It is very difficult and time consuming to compare query image (QR i.e query image is an image which we want to search) with all the images of large database one by one to search an image. Finding an image from large collection of database is termed as Image Retrieval (IR). It becomes a very difficult task when an image to be searched from millions of images especially from internet. Searching an image with the help of image content features (Color, Shape, Edge Detection , Texture Etc.) instead of
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