Paper Title:
Research of Image Registration Based on Maximum Entropy Template Selection Algorithm
  Abstract

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.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1138-1143
DOI
10.4028/www.scientific.net/AMR.268-270.1138
Citation
H. Y. Qin, "Research of Image Registration Based on Maximum Entropy Template Selection Algorithm", Advanced Materials Research, Vols. 268-270, pp. 1138-1143, 2011
Online since
July 2011
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Price
$32.00
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