Why does correlation of two images takes more time?
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Cross Correlation is a valid technique to relate provide similarity and best match between two signals, however, using it in image processing/pattern recognition if the raw image data is used will not ensure to provide concrete (assured) results due to its high sensitivity to noise (i.e.. logical color variation from pixel to pixel).
The best method that I can recommend is to reduce the image data into contours (by application of contour tracing) and then apply the cross correlation function, hence in this case it will be invariant to position and orientation.
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