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In this section, first the results between optimal filtering with neighbors' pixels and raw time-series activated single pixel on fMRI data of five healthy and five dyslexic subjects are presented as described in Method section.
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Before filtering indicates a raw time series of single activated pixel at regions of interest based on statistical parametric mapping (SPM) and filtering signal suggests that the results of linearly combined signal with neighbors' pixel of the activated single pixel using a practical optimization algorithm.
Combinational weight factor can be adaptively adjusted by estimating interpolation errors around neighbor pixels.
The texture of nearest neighbor pixels at low fraction recrystallized represents the nucleation environment of newly recrystallized grains.
The context-adaptive interpolation (CAI) method predicts a center pixel from its four-neighbor pixels.
The electrical currents of two neighbor pixels are measured and the results are compared between two guard ring designs.
This problem recovers a color image by minimizing the sum of differences between neighbor pixels.
Then D x denotes the differences between the neighbor pixels of a whole image.
The parameter σ determines the distance of reachable neighbor pixels in one single step.
At the same time, the 8-neighbor and 12-neighbor pixels as spatial information are used in the FCM.
Moreover, pixels located in the border of the block also need neighbor pixels from other blocks to compute the convolution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com