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This is useful for independent benchmarking and performance comparison tests of these methods by other researchers.
However, tests of these methods show varying levels of success.
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As a test of these methods, we carried out the NLFFF extrapolation for the active region AR 11158 (February 2011) using the algorithm by Rudenko and Myshyakov (2009).
The second principle task was to perform an initial test of these methods on both real life plankton data of high contour line variability and a synthetic sample data with similar intra-class structure and symmetry.
Further testing of these methods was done in the following decades, and today researchers continue to develop methods for using other welding processes in space, such as laser beam welding, resistance welding, and friction welding.
However, thorough critical testing of these methods, using approaches similar to those in the present study, has been reported only rarely, and not at all for SYBR green based strategies.
Figures 3, 4, 5, 6, 7 and 8 show the cartoon and noise components obtained from the various denoising algorithms on the three test images, along with the original and noisy images used for testing all of these methods.
That means you may end up testing all of these methods before too long.
The goals of this paper is to test one of these methods against real luminance measurements.
Testing principle of these methods is briefly outlined while their accuracy, efficiency, versatility, reproducibility, sensitivity and validity are systematically compared.
The test results of these methods could not be presented in graph form; thus, we compared the proposed method by fixing the false positive ratio.
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