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The metrics of squared Laplace image (3 ms), Mendelsohn and Mayall (3 ms), Riemann tensor (5 ms), steepness (8 ms) and maximal gradients (13 ms) have been tested.
The metric of maximal gradients S5 [21] evaluates the occurrence (frequency) of grey-value differences di within the surrounding area of a particle (square of 21 by 21 pixel).
A beam splitter (BS) reflects the modulated light which is focused by a lens (L) to a CCD camera Table 1 Sharpness metric calculation time for a single image Metric Type Calculation time S1 Squared Laplace image 3 ms S2 Mendelsohn and Mayall 3 ms S3 Riemann tensor 5 ms S4 Steepness 8 ms S5 Maximal gradients 13 ms.
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The maximal gradient, of logW versus logσ, i.e. at the optimum point, is unity.
In particular, we can obtain posterior distributions for any such gradient, for the direction of maximal gradient, and for the magnitude of the maximal gradient.
The maximal gradient strength is defined as the main direction of this keypoint.
Participants then performed a verification test, designed as a test to exhaustion at the same constant speed but 0.3 and 0.1% higher than the maximal gradient achieved during the GXT for NON-SCI/PARA and TETRA, respectively.
Autofocusing was achieved on phase contrast images by acquiring a stack of images and selecting the one with maximal gradient.
The enhancement of the grey level on its maximal gradient lines (identical to the geometric locus formed by all the points where the mean Gaussian curvature on the grey surface vanishes) is due to the retinal processing and causes the sensation of contours.
The main orientation of fibers (B, white segments) is perpendicular to the direction of maximal gradient.
Mitral valve stenosis was considered important when the maximal gradient was ≥ 10 mmHg.
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