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Single unit discrimination was not routinely possible in these experiments; however, we estimated that recordings at each channel were between one and ten neurons based on histogram analysis of event amplitude and individual firing rates derived from cell-attached and intracellular recordings [14].
Gaussian mixture models with the help of expectation maximization (EM) optimization[ 8 10] or similar optimization strategies are one approach to achieve a probabilistic classification based on histogram analysis[ 11 16].
Then, the brain tumor was detected using multi-level threshold segmentation based on histogram analysis.
or local statistical information (local histogram, pixels of neighborhood window, etc).. Goh et al. [23] adaptively used four types of fixed mapping function to process video sequences based on histogram analysis.
First-order statistics, based on histogram analysis, include mean intensity, maximum intensity, minimum intensity, uniformity (uniformity of gray-level distribution), entropy (irregularity of gray-level distribution), standard deviation of the gray-level histogram distribution, skewness (asymmetry of the histogram), and kurtosis (flatness of the histogram) (Appendix).
The texture features included 5 first-order features based on histogram analysis, 19 second-order features based on gray-level co-occurrence matrix (GLC M, and 16 high-order features based on neighborhood gray-tone difference matrix (NGTDM) and gray-level zone size matrix (GLZSM).
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The baseline is estimated using a complex algorithm based on histogram and STV analysis, aimed at finding the HR level of stable segments with normal variability, within the physiological limits of 110 150 bpm [ 14– 16].
In the result of analysis of residual based on histogram approximates the standard level, the residual has a mean value 3.32 × 10 ≈ 0 and std.
Other brightness preserving histogram-based enhancement techniques are based on histogram matching (HM) procedure.
In order to classify the keypoints, we have adapted the histogram analysis method proposed by Chang et al. in [19], which was originally designed for image segmentation based on histogram thresholding.
Texture analysis is based on the histogram analysis of ILD- characteristic findings in small ROIs.
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