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In virtual group all scan data in DICOM format were imported to Mimics 10.01 software, and then image positioning, threshold-value segmentation, and dynamic segmentation were performed.
The histogram of the satellite image is analyzed and divided into four main sections to obtain the desired threshold value for segmentation.
Case-1 Awarding top customers: Objective feature label table lists top/best customers and associated customer value, customer segmentation and customer scoring as feature labels.
We expect the more the two segments differ, the larger is the predictive bias of the MNL and thus the larger is the bias of the objective function value if segmentation is neglected.
A gray-level comparison between the detection point and its surrounding pixels at a certain distance was undertaken, and the threshold value for segmentation was changed with the gray-level variation of local annular background.
Table 2 Training parameters in the proposed technique Modules Parameters Values Coarse segmentation T area 0.006 M pixels Coarse segmentation T ratio 3 Thickness measurement τ 3 150 pixels.
This is the reason that we adopted the fast and simple region-growing algorithm based on pixel values for segmentation.
Default values for segmentation and normalization within SPM5 were used.
To maximize the practical value of the segmentation findings, we limited the analysis to five, six and seven segment solutions.
The threshold value for image segmentation was set for each tooth.
Numerical studies show that averaging customer characteristics yield a bias of more than 15%% of the objective function value compared to segmentation.
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