Image Analysis. Preprocessing ROI Image Geometry. Preprocessing. To makes the primary data reduction and analysis task easier.
ROI Image Geometry
Figure 3.2-1 Preprocessing examples. a) an image needing border removal, b) the image after the border is removed, c) an image where only shape information is necessary in order to control a robotic gripper, d) the image after unnecessary information removal which leaves only the object shape
Figure 3.2-2 Zooming Methods hold or a first-order hoId. a) Original image. The ape’s face will be zoomed, b) Image enlarged by zero-order hold, notice the blocky effect, c) Image enlarged by first-order hold. Note the smoother effect
0(0) + 1/2(0) + 0(0) + 1/2(3) + 1(0) + 1/2(5) + 0(0) + 1/2(0) + 0(0) = 4
140 - 125=15.
The two pixel values between the 125 and 140 are :
125 + 5 = 130 and 125 + 2 x 5 = 135
where r' and c' are the new coordinate, r and c are the original coordinates and ro and co are the distances to move, or translate ,the image.