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In this study, an adaptive edge stopping threshold function given in Equation 8 is used.
The stopping threshold γ t shown in (17) can be calculated using numerical method [17].
However, correct implementation of this technique depends crucially on the choice of an edge stopping threshold.
As mentioned earlier, existing techniques only used a single edge stopping threshold value for the whole image.
The smoothing effect varies between pixels, and the extent of this depends on the edge stopping threshold value in g x, y).
Equation 8 is defined as an edge stopping threshold matrix, and it has the same dimension as I e (x, y).
Similar(39)
In this paper, we proposed the detection-based orthogonal match pursuit (DOMP) algorithm which systematically provides the stop threshold based on the signal detection criteria.
Based on the empirical results of our previous work, we give a new method to select the stop threshold for the image reduction process, which reduces the total computation by half.
There are four parameters to be chosen in ANMM4CBR: gene pre-selection threshold θ p, cluster-stopping threshold θ h, weight-updating parameter α, and the parameter β for case retrieve.
In our study, stop angle threshold was set to 35 degree, which meant if the angle change between two voxels was greater than 35 degree, the tracking process stopped.
Besides the rapid progress in pushing resolution, however, intrinsic sample heterogeneity in composition or conformation is becoming a threshold stopping us obtaining higher-resolution structure.
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