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contrast thresholding.
The similarity in pixel intensities between the background and the interior of the cells on PCM images (Fig. 1A.i) was overcome by the use of local contrast thresholding to identify neighborhoods of pixels presenting large variations in intensity.
With the NEMA IQ phantom, contrast thresholding (CT) performed best on average for all sphere sizes and parameter settings (SI = 0.83; %VE = 5.65% ± 24.34%).
Contrast thresholding (CT) [11]: uses an optimal threshold (T) for the data inside the selected VOI that was calculated as follows: T = a × m S U V 70 + b × B G (1).
We present an image-processing approach that accurately detects cellular objects in PCM images through a combination of local contrast thresholding and post hoc correction of halo artifacts.
We detected and removed this "flank" using an iterative algorithm that, starting from the borders determined by local contrast thresholding, tracked towards brighter intensities until it reached the interface between the bright halo and the cell edge.
Similar(53)
The Spatial Standard Observer (SSO) is a new metric that computes contrast thresholds for arbitrary grayscale images [12], [13].
We measured recognition contrast thresholds in a four-alternative forced-choice (4-AFC) paradigm and examined how thresholds were impacted as a result of adapting to a face.
Object recognition contrast thresholds from 5 participants were unreliable due to failed staircase procedures, with a further participant showing inconsistent motion coherence thresholds in repeated runs.
For all subjects, contrast thresholds were assessed in Maxwellian-view.
We found no difference in contrast threshold between emmetropes and myopes.
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