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(b) Radon transformation detection method.
Here, Radon transformation detection method is chosen.
Moreover, claudin-5 might be a potential marker for early hemorrhagic transformation detection in ischemic stroke.
This simulation result proves that Radon transformation detection method has high precision and good anti-noise performance which can accurately extract the micro-parameters.
As can be seen from the above results, the Radon transformation detection method has the advantages of high precision and strong anti-noise.
While the Radon transformation detection method proposed in the article can maintain high accuracy even in the condition of multiple scatterers with strong noise.
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Consequently, with the help of Hough transformation, the detection for the global curve in the image domain could be converted to detection of peaks in easily realized parameter domain.
Graphical components representing bond connectivity are analyzed using the (Generalized) Hough Transformation, Corner Detection algorithm, and a few other geometric operations detailed below.
To avoid losing information caused by log-transformation, the detection limits were added to all phenotypes before transformation.
Specifically, we consider if the IDF transformation influences anomaly detection performance.
HY and WC performed the plasmid construction, plant transformation and mutation detection.
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