Research of Image Registration Based on Maximum Entropy Template Selection Algorithm
2011 ◽
Vol 268-270
◽
pp. 1138-1143
Keyword(s):
This paper concerns an improved adaptive genetic algorithm, and the method is applied to the Maximum Entropy Template Selection Algorithm image registration. This method includes adjusting the probability of crossover and mutation in the evolutionary process. The method can overcome the disadvantage of traditional genetic algorithm that is easy to get into a local optimum answer. Results show our method is insensitive to the ordering, rotation and scale of the input images so it can be used in image stitching and retrieval of images & videos.
2011 ◽
Vol 328-330
◽
pp. 54-57
2014 ◽
Vol 538
◽
pp. 193-197
2013 ◽
Vol 753-755
◽
pp. 2925-2929
2014 ◽
Vol 540
◽
pp. 456-459
2020 ◽
2019 ◽
Vol 13
(4)
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pp. 91-111
Keyword(s):
2011 ◽
Vol 219-220
◽
pp. 1578-1583
2014 ◽
Vol 989-994
◽
pp. 2609-2612
2016 ◽
Vol 2016
◽
pp. 1-10
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