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A fast image seeking algorithm based on imaging ladar

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The quantum genetic algorithm is a fast algorithm for searching global optimal solution of a function, being proposed in recent years. The algorithm introduces the method of quantum, which makes the algorithm has high parallelism in solving problems. So the algorithm can be used to the quick searching. In this paper, the algorithm is introduced to target seeking of the ladar imagery. Through theoretical analysis and repeated experiments, the suitable self-adapting quantum revolving door and the effective preprocess of the ladar imagery have been found. This paper also makes use of the method of quantum transition and improves the accuracy of the algorithm by fusing the range image with the intensity image. Moreover, the preliminary quantum genetic algorithm for imaging ladar has been established. To some extent, with the use of this algorithm the best matching points can be found fast and accurately.

Original languageEnglish
Title of host publication2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010
Pages269-272
Number of pages4
DOIs
StatePublished - 2010
Event2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010 - Harbin, China
Duration: 28 Jul 20101 Aug 2010

Publication series

Name2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010

Conference

Conference2010 Academic Symposium on Optoelectronics and Microelectronics Technology and 10th Chinese-Russian Symposium on Laser Physics and Laser Technology, RCSLPLT/ASOT 2010
Country/TerritoryChina
CityHarbin
Period28/07/101/08/10

Keywords

  • Imaging ladar
  • Quantum genetic algorithm
  • Target seeking

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