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JOURACA_SP_2017

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Automatic Difference Detection between Similar<br />

Scenes Captured in Non-Identical Images<br />

Jacob Maynard<br />

Abstract<br />

Spot the Difference type puzzles<br />

are problems where two similar<br />

images are to be compared, and<br />

the object of the puzzle is to locate<br />

all of the differences between<br />

the two photos. Trivial versions of<br />

these problems can be solved automatically<br />

with little effort.<br />

However, a nontrivial puzzle has<br />

too much noise to solve in such a<br />

simple manner. In this paper, a<br />

method for automatically solving<br />

nontrivial versions of these puzzles<br />

will be presented. The strategy<br />

proposed involves using color<br />

grouping and edge detection algorithms<br />

to break both images into<br />

component pieces, and creating a<br />

list describing the objects and<br />

their locations on each image.<br />

These lists can then be compared,<br />

thus identifying the differences.<br />

Department of Computer<br />

Science<br />

Computer Science<br />

Mentor: Michael Doran<br />

26

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