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An approach to building a CBIR-system for searching computer
tomography images using the methods of wavelet-analysis is presented in this
work. The index vectors are constructed on the basis of the local features of
the image and on their positions. The purpose of the proposed system is to
extract visually similar data from the individual personal records and from
analogous analysis of other patients.
The image denoising process is of great importance when analyzing
images and their visualization. A major problem is finding the boundary
between clearing the noise and keeping the salient features in the images.
This paper proposes adaptive subband threshold image denoising in a shearlet
domain based on the Shannon entropy. The method does not suppose a
specific type of noise, it does not require data for its spectrum, nor does it
lead to highly complex computational algorithms.
ACM Computing...
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