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(G and H) The statistic diagrams of the parameters including the image rotation angle (X axis), the image magnification correction factor (Y axis) and the image stretch correction factor (Z axis) during image alignment and deformation correction of serial SEM images of sinusoid in normal mice (G) and arsenic treated mice (H) respectively.
Figure 6 Comparison of (A) median ACD applied to one southern humid forest landscape according to the final regional, satellite-based stratification, and (B) direct mapping of ACD using airborne LiDAR with the MCH-to-ACD model from Figure 2. The colors, image stretch, and units are the same in both images.
Based on these facts, we believe that the SIFT feature extracted from a spectrogram image is a good choice for music identification, especially considering that its invariance to image stretch and translation will endow the identification algorithm with a strong robustness against time stretching and pitch shifting.
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These two parameters are required to automatically select the best image to provide in output (i.e., equalized image, stretched image, or input image without modifications), depending on the input image statistics.
Despite different expressions of the rockfalls on the image and field photos due to the image stretching caused by steep topography, the rockfalls can be easily identified on the satellite image with the aid of field investigations.
The equalizer/stretcher module performs both histogram equalization and histogram stretching on the input image, but it provides in output only the best image (i.e., equalized image, stretched image, or input image without modifications) depending on the information provided by the histogram analyzer.
With this simple method, image stretching was mostly eliminated, as shown by the bead images in Figs. 3 and 7(b).
The image stretching can either be accounted for experimentally (Huang et al. 2008b) or analytically by rescaling with the factor ηbuffer/ ηimmersion (Biteen et al. 2012).
Considering the complexities in applying either of these two methods, we explored the feasibility of reducing image stretching by simply controlling the drive signals.
The image stretching resulting from the sinusoidal motion of the resonant optical scanner was compensated by estimating the distortion from images of a Ronchi ruling, and then re-sampling the images over a grid of equally spaced pixels.
The background image stretches, so make sure your image fits nicely in the viewing area.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com