Here, the analysed points were positioned in an equally spaced rectangular matrix, eight pixels apart (approximately 0.1 mm on the sheet sample).
Here centers of local windows are positioned four pixels apart from each other in the target video frame and thus they are densely overlapped in horizontal and vertical directions, respectively (see Figure 2).
Two squares (140 × 140 pixels) 120 pixels apart, one in a light and one in a dark shade of grey, were displayed on the screen 120 pixels from the vertical sides (left-right) and 170 pixels from the top and from the bottom.
Two rectangles with no outline in both the horizontal and the vertical direction were spaced to be 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 pixels apart.
Twelve pictures of food (e.g., biscuit, cracker, pastry, small pizza), balanced for taste (sweet, neutral, salty) and shape (round or square), were presented with a transparent background below the face (265 pixels apart from the mouth centre).
The streams were aligned to the center of the screen and 128 pixels apart on the horizontal axis.
Normals of 3 pixels long were drawn at equidistant points along the perimeter spaced 2 pixels apart and the highest intensity value along this normal was determined.
Looking along each A-scan, we find an initial estimate of either the ILM or the ISOS boundary from the two pixels with the largest positive gradient values more than 25 pixels (97 μm) apart, since both of these boundaries have a similar gradient profile.
Thirty-nine million pixels.
Each camera has about 1.4 billion pixels.
And an ordinary X-ray may have eight million pixels.
