Opto-Electronic Engineering, Volume. 38, Issue 5, 108(2011)

Adaptive Image Enhancement of Streak Tube Imaging Based on Shuffled Frog-leaping Optimization

YUE Mei1, GUO Bao-ping1, ZHANG Ping2, and GUO Xuan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    A new kind of adaptive enhancement approach, based on shuffled frog-leaping optimization algorithm and incomplete Beta function, is given to streak tube image of streak tube camera. There is not only the local but also the global information exchange in shuffled frog-leaping algorithm. So the result of exploration is reliable and the speed of constringency is fast. The adaptive parameters of gray transform function are selected by shuffled frog-leaping algorithm, so it could get an optimization curve and enhance the image. Experimental results show that the proposed algorithm is efficient for streak tube image. Compared with traditional enhancement methods, the proposed algorithm can keep the detail of target in the streak image better, and it is superior to traditional enhancement methods in visual quality.

    Tools

    Get Citation

    Copy Citation Text

    YUE Mei, GUO Bao-ping, ZHANG Ping, GUO Xuan. Adaptive Image Enhancement of Streak Tube Imaging Based on Shuffled Frog-leaping Optimization[J]. Opto-Electronic Engineering, 2011, 38(5): 108

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Dec. 8, 2010

    Accepted: --

    Published Online: May. 13, 2011

    The Author Email:

    DOI:

    CSTR:32186.14.

    Topics