  The normalized 2-D correlation technique is a robust method for detecting
targets in images due to its ability to remain invariant under rotation,
translation, and scaling. This paper examines the impact of translation, and
scaling on target identification in images. The results indicate a high level
of accuracy in detecting targets, even when they are exhibit variations in
location and size. The results indicate that the similarity between the image
and the two used targets improves as the resize ratio increases. All
statistical estimators demonstrate a strong similarity between the original and
extracted targets. The elapsed time for all scenarios falls within the range
(44.75-44.85), (37.48-37.73) seconds for bird and children targets
respectively, and the correlation coefficient displays stable relationships
with values that fall within the range of (0.90-0.98) and (0.87-0.93) for bird
and children targets respectively.
