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6 Reverse Engineering of Microcircuits
Fig. 6.38 Results of application of affine transformations for two types of images: program
window with original images (a); program window with images after transformation (b); differential image before transformation (c); differential image after transformation (d); differential image
after transformation for anchor points only (e) [10]
integral bitmap images and two images consisting of a set of frames are shown (see
Fig. 6.37).
It is known that the use of affine transformation for the entire set of frames would
require extreme amounts of hardware resources. Therefore, a special algorithm was
designed to speed up processing of computer data, which allows using affine transformation only for specific anchor points of frames, i.e., only for a group of frames;
in this case, rotation and offset effects here can be achieved by simply changing
coordinates of the anchor points, while the rest pixels of the frame are not subject to
recalculation. This processing method actually significantly increases the speed of
processing of a group of connected frames of the microcircuit topology image.