计算机与现代化

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基于水下视频图像去雾帘的关键帧提取系统

  

  1. (河海大学机电工程学院,江苏常州213022)
  • 收稿日期:2015-06-30 出版日期:2015-11-12 发布日期:2015-11-16
  • 作者简介:彭海强(1992-),男,重庆云阳人,河海大学机电工程学院硕士研究生,研究方向:计算机视觉; 廖华丽(1960-),女,教授,研究方向:机械设计及理论。
  • 基金资助:
    江苏省科技支撑计划项目(BE2012096)

Keyframe Extraction System Based on Underwater Video Defogging

  1. (School of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China)
  • Received:2015-06-30 Online:2015-11-12 Published:2015-11-16

摘要: 为了克服水下视频采集过程中存在的图像雾帘与数据冗余的缺点,设计一种兼顾视频帧内容与提取数量的关键帧提取系统。该系统采用基于暗通道先验理论的去雾算法实现对水下视频图像的去雾帘增强,采用基于图像相似性与采样间隔的关键帧提取算法提取增强后视频图像的关键帧,采用图像拼接技术检测所提取关键帧的可靠性。实验结果表明,相比于原始数据,该系统提取的关键帧数量大幅减少,且有效地反映了整个探测过程的图像信息。

关键词: 关键帧, 去雾帘, 图像增强, 采样间隔, 图像拼接

Abstract: Abstract: In order to overcome the video data redundancy and image haze in the video capture process during the underwater detection, this paper designs a keyframe extraction system taking into account the video frame content and extract amount. The original detective image is enhanced by using the Image Dehazing Algorithm based on Dark Channel Prior. The improved key frame extraction algorithm based on sampling interval and image similarity is used for keyframe extraction after the original image enhancement. The image stitching method is used to test the reliability of extracted key frames. Experimental results show that the amount of key frames is significantly reduced comparing to the original data, and effectively reflects the main information for the entire detective process.

Key words: keyframe, defogging, image enhancement, sampling interval, image stitching

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