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Then, in the third term defined in Equation 6, the structure comparison is conducted after luminance subtraction and contrast normalization.
It computes on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved performance.
For MLP and SVM, the training and testing samples are pre-processed by the contrast normalization technique given by (9).
Adaptation is achieved through decorrelation and contrast normalization in several steps in a hierarchical approach, in compliance with coarse features described in biological visual systems.
This technique counts the occurrences of gradient orientation in localized portions of an image, is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy.
The use of image pre-processing functions proves to be essential in two-phase flow microfluidics: Velocity measurements are obtained using an adaptive cross-correlation algorithm, where particle image contrast was enhanced using local contrast normalization and difference of Gaussian filters.
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In contrast, popular normalization approaches like quantile, LOWESS, Peng's method and VSN normalization alter the data distributions of regulation microarrays to such an extent that using these approaches will impact the reliability of the downstream analysis substantially.
In contrast, after normalization for body weight the prednisone- and combination-treated groups showed significantly better forelimb grip strength because of the decrease in body weight that had occurred with prednisone treatment.
For this we apply a multiplicative correction factor specific to each SOMAmer, but invariant with respect to the sample (in contrast to normalization in which the factor was specific to the sample and did not vary from SOMAmer to SOMAmer within a sample).
In contrast, significant normalization of the numbers of circulating monocytes was found in responders at three months of adalimumab plus MTX treatment that lasts up to six months.
They compared its performance with the cyclic loess and contrast based normalization methods that had already been successfully used in mRNA data analysis.
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