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We estimated quantiles in SAS® (PROC RANK, PROC MEANS) by which pixels comprising the raster surface were partitioned into 5 equal-sized subsets based on pixel value.
Initially it was based on radiographically adequate consolidation, but later it was based on pixel value ratio (PVR) as previously described by us (Singh et al. 2010).
In detail, CAD incorporates unenhanced images and contrast-enhanced images and then compares pixel signal intensity values on the immediate- and delayed-contrast enhanced images to indicate washout, plateau, or persistent enhancement pattern based on pixel value increases above a user-specified minimum enhancement threshold [ 28].
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Nonparametric background modeling methods have been used to estimate background distribution based on pixel values observed in the past.
This is the reason that we adopted the fast and simple region-growing algorithm based on pixel values for segmentation.
The progression of region growing is constrained by user-specified criteria based on pixel values and object sizes, and the user has full control over the segmentation process.
Existing short-baseline stereo matching methods, which are mostly based on pixel intensity values, perform reasonably well and are quite fast.
Furthermore, most existing local methods are based on pixel intensity values, and hence are not efficient with feature vectors used in wide-baseline stereo matching.
The puncta area (in pixels) was then measured and converted to square micrometers based on pixel size values computed for each image by Fluoview confocal software, which automatically records image resolution, microscope objective, and 'zoom' factor for each image.
The similarity indices were based on pixel by pixel (size: 1 ms × 86 Hz) comparisons between pairs of spectrograms.
Briefly, Agilent Feature Extraction determines the foreground value for each channel based on the pixel values in a fixed-size circle centered on each spot.
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CEO of Professional Science Editing for Scientists @ prosciediting.com