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Images were extracted and initial analysis was performed by Feature extraction v9.5.3 (Agilent) performing background correction of feature intensities (within the software).
The images were extracted, enlarge with a boundary-smoothing technique and adjusted for contrast.Dr.
These variations can be monitored by the homemade image system, and the green channel intensities of obtained colored images were extracted with photoshop software to quantify the luminescence.
After that, some data sets of images were extracted from the source images in order to have a handier sample and to create some subsets for the validation of the results.
Analysis images were extracted from mosaiced scenes by using BER geographic boundary.
A total of 7200 SS/DD particle images were extracted from simulated micrographs with a box size of 256 pixels.
To rationally understand height values, histogram plots of height images were extracted and normal (Gaussian) distribution of spectrums was attained.
Thus, a total of forty diastole and systolic images were extracted from the DICOM datasets, plus additional images between the two cardiac phases.
Thus, a specific classifier was trained using the same training parameters as the cascade, except that the positive images were extracted from the FERET database.
Although this is a huge data set, the number of scenes and individuals is quite small, as the images were extracted from only 25 videos and the conditions within each single video are uniform.
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In this approach instead of traditional image segmentation, first, edges of the images are extracted.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com