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Edge density represents the mean portion of pixels that represent edges over the entire spatiotemporal segment.
The sum over an individual edge histogram corresponds to the portion of pixels in a segment that represent edges.
So, we can select a portion of pixels as a sample to represent total pixels to compute the statistics.
In the target detection problem, we try to reduce the computation of covariance matrix using a portion of pixels as a sample to estimate background statistics.
So, using a portion of pixels for correlation matrix R or covariance matrix ∑ calculation is a commendable method to reduce computation complexity.
We found that continuum-removal improved the classification performance of most endmember-models, although a larger portion of pixels remained unmodeled with the CR spectra (2%) compared to the non-CR spectra (0%).
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To determine an adaptive threshold value for T area, we calculate the portion of epidermis pixels about skin tissue pixels in training images.
It builds an estimation of the restored pixel value by weighted averaging over a large portion of the pixels within the image.
To select good samples for superpixel-level training, we initialize a label map based on the portion of positive pixels in each superpixel and refine it by energy optimization.
It has been found that the portion of epidermis pixels ranged between 0.007 and 0.06, and hence the threshold T area is set as 0.006 M where M is the number of foreground pixels (i.e., skin tissue pixels) in the WSI.
Manders' M1 and M2 coefficients measure the portion of the pixels in each channel (here red and green) that coincides with a signal in the other channel.
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Justyna Jupowicz-Kozak
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