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As in our previous study [ 28], we recorded for each prey colour morph and visual background, the number of presented prey images that were detected (correct), time to detection, the number of times that a participant failed to detect the image within 60 seconds (wrong), and the number of times the participant clicked somewhere on the screen where there was no grasshopper image (wrong).
This is used to detect the image, which is focused on to it by the lens.
Blurred images makes the arteries appear larger, but at the moment, there is no way to detect the image quality for motion of the 3D-TOF-MRA other than visual assessment by the observer or calculation of signal-to-noise ratios, when comparing two different MRA images.
The algorithms were essentially grouped in two categories: (1) an algorithm to detect the image regions that contain the cells, followed by (2) an algorithm to correct the halo artifacts typical of PCM images.
When viewed through glasses with the same colored lenses, each eye can only detect the image of the opposite color.
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This is achieved by focusing the light source, usually a laser, to a point and detecting the image through a pinhole.
For these gray images, most of the methods detect the bright sky or dark shadows as the salient regions, and method MR generally detects the image center as the salient region.
Therefore, researchers have been developing more passive detection algorithms to detect the tampered images.
But, it is hard to detect the forged image keeping the constraints by human visual system.
NCC-BB failed to detect the correct image because of its block-based properties--part where illumination is different dominated.
Scale invariant feature transform (SIFT) features [12] were used in [13] to detect the rear images of vehicles.
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