A novel registration method based on coevolutionary strategy

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Automatic registration is an important task to prepare aligned 2D images for 3D structure visualization, and it is a challenging problem especially for the microscope images. This paper proposes a novel coevolution-based coarse-to-fine registration method, aiming to align the regions of interest (ROIs) in the image sequence. Firstly, a coarse registration for whole images is executed by a scale-invariant feature transform (SIFT) based method, which can facilitate the segmentation of ROIs. Secondly, a fine registration for the segmented ROIs is done by a genetic algorithm (GA) with a novel coevolutionary strategy. Experimental results demonstrate the good performance of the proposed method and it is also successfully applied to the renal biopsy image sequence.

本文言語English
ホスト出版物のタイトル2016 IEEE Congress on Evolutionary Computation, CEC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2375-2380
ページ数6
ISBN(電子版)9781509006229
DOI
出版ステータスPublished - 2016 11 14
イベント2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada
継続期間: 2016 7 242016 7 29

Other

Other2016 IEEE Congress on Evolutionary Computation, CEC 2016
CountryCanada
CityVancouver
Period16/7/2416/7/29

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation
  • Computer Science Applications
  • Control and Optimization

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