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Advance Cbir By Using Cts Features With Relevance Feedback
[Full Text]
AUTHOR(S)
Rahul Mehta, Dr. Rakesh Kumar Bhujade
KEYWORDS
CBIR, Color, Texture, Shape, Multidimensional Indexing, Wavelet Transformation, Gabor Filter, SVM, Relevance Feedback
ABSTRACT
Due to availability of internet databases of images is expanding tremendously and hence there is a strong need of extraction of accurate retrieve image from these large databases. As the image database size is very large so we need a fast retrieval search engine that can retrieve documents as well as images accurately. Required images can be retrieved accurately by retrieving their features accurately. These features may include Color, Texture & Shape. This is one of the hottest research areas and during past decades researchers had developed so many vast techniques who utilizes these features for retrieving the images effectively and efficiently from the large image databases. This paper will cover the wide survey of the Content Based Image Retrieval (CBIR) techniques that mostly used Color, Texture and Shape with Relevance Feedback for retrieving the images.
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