Acta Photonica Sinica, Volume. 35, Issue 3, 477(2006)

A Method of View Range Evaluation Based on Image Processing Technology

Li Shengcai1、*, Zhou Guangen1, and Zhao Baosheng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    View range is one of the main integrated performance indexes for night view systems,and is also the important performance index needed to give when night view systems leave factory. Finally the performance of night view systems express as view range. So the size of view range directly determines integrated performance of night view systems. Therefore,how to evaluate view range of systems objectively and effectively is the main problem that both producers and users concern. Based on low night level view detection function and image threshold contrast,a new objective view range evaluation method of night view system is proposed in this article with image processing technology,least-square polynomial fitting,vision sense formula under glimmer light circumstance and other knowledge. For validating the method,six groups experimentation with field situation of six kinds' night view system have been finished respectively.The results of experiment indicates that the new method has effectively improved the speed of view range measurement of night view system with good precision and practicability. Therefore,the method has scientific guidance meanings to analyze low night level night view system performance,make technique index sure,improve and develop the night view system performance.

    Tools

    Get Citation

    Copy Citation Text

    Li Shengcai, Zhou Guangen, Zhao Baosheng. A Method of View Range Evaluation Based on Image Processing Technology[J]. Acta Photonica Sinica, 2006, 35(3): 477

    Download Citation

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

    Category:

    Received: Dec. 7, 2004

    Accepted: --

    Published Online: Jun. 3, 2010

    The Author Email: Shengcai Li (lschappy@163.com)

    DOI:

    Topics