1,664 research outputs found
Asymptotic distribution of the maximum interpoint distance in a sample of random vectors with a spherically symmetric distribution
Extreme value theory is part and parcel of any study of order statistics in
one dimension. Our aim here is to consider such large sample theory for the
maximum distance to the origin, and the related maximum "interpoint distance,"
in multidimensions. We show that for a family of spherically symmetric
distributions, these statistics have a Gumbel-type limit, generalizing several
existing results. We also discuss the other two types of limit laws and suggest
some open problems. This work complements our earlier study on the minimum
interpoint distance.Comment: Published at http://dx.doi.org/10.1214/14-AAP1082 in the Annals of
Applied Probability (http://www.imstat.org/aap/) by the Institute of
Mathematical Statistics (http://www.imstat.org
The use of Mean Residual Life in testing departures from Esxponentiality.
vita media residua; test di esponenzialità ; processo di wiener; processo di quantili
An Improved Approach for Contrast Enhancement of Spinal Cord Images based on Multiscale Retinex Algorithm
This paper presents a new approach for contrast enhancement of spinal cord
medical images based on multirate scheme incorporated into multiscale retinex
algorithm. The proposed work here uses HSV color space, since HSV color space
separates color details from intensity. The enhancement of medical image is
achieved by down sampling the original image into five versions, namely, tiny,
small, medium, fine, and normal scale. This is due to the fact that the each
versions of the image when independently enhanced and reconstructed results in
enormous improvement in the visual quality. Further, the contrast stretching
and MultiScale Retinex (MSR) techniques are exploited in order to enhance each
of the scaled version of the image. Finally, the enhanced image is obtained by
combining each of these scales in an efficient way to obtain the composite
enhanced image. The efficiency of the proposed algorithm is validated by using
a wavelet energy metric in the wavelet domain. Reconstructed image using
proposed method highlights the details (edges and tissues), reduces image noise
(Gaussian and Speckle) and improves the overall contrast. The proposed
algorithm also enhances sharp edges of the tissue surrounding the spinal cord
regions which is useful for diagnosis of spinal cord lesions. Elaborated
experiments are conducted on several medical images and results presented show
that the enhanced medical pictures are of good quality and is found to be
better compared with other researcher methods.Comment: 13 pages, 6 figures, International Journal of Imaging and Robotics.
arXiv admin note: text overlap with arXiv:1406.571
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