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Books > Computing & IT > General theory of computing
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Extraction of Texture Features by Euclidean, Canberra & Both Distance (Paperback)
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Discovery Miles 12 210
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Extraction of Texture Features by Euclidean, Canberra & Both Distance (Paperback)
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Texture describes the content of many real world images: for
example, clouds, trees, bricks, hair, fabric etc. all of which have
textural characteristics.Feature extraction is one of the most
important tasks for efficient and accurate image retrieval purpose.
In this book we are going to use Cosine-modulated wavelet transform
based technique for extraction of texture features. The major
advantages of Cosine-modulated wavelet transform are less
implementation complexity, good filter quality, and ease in
imposing the regularity conditions. Texture features are obtained
by computing the energy, standard deviation and their combination
on each subband of the decomposed image. To check the retrieval
performance, texture database of 1856 textures is created from
Brodatz album. Retrieval efficiency and accuracy using
Cosine-modulated wavelet based features will be found to be
superior to other existing methods.
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