A Hybrid Approach to Feature Extraction for Content Based Image Retrieval
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Abstract
Query image retrieval which is also known as
Content Based Image Retrieval (CBIR) is defined as the
retrieving of the images from the database that have
content similar to the query image.It is done by extracting
features according to the content in the form of colour,
shape and texture from the images. There exists various
techniques for the retrieval of images from the database.
Though these techniques work well for retrieving the
images from the database, still they lack in accuracy. In
this paper, a hybrid technique is proposed for efficient
retrieval of images. Rotation Invariant Uniform LBP (RIULBP)
with colour moment and Centre-Symmetric LBP (CSLBP)
with colour moment together forms hybrid approach.
The proposed technique has an accuracy of 86.1% which is
fairly high in comparison to if these techniques are used in
isolation.
Keywords-Content Based Image Retrieval, LBP operator,
Uniform local pattern operator. Rotation Invariance,
Centre-Symmetric LBP.
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