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基于OpenCV的煤泥浮选尾矿图片采样分析

OpenCV-based flotation tailings image sampling analysis
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摘要 为了方便地获取煤泥浮选尾矿的图片信息,验证图片灰度与尾矿灰分的关系,探索基于Open CV开源的计算机视觉函数库,利用USB视频采集卡,结合VS2010平台开发煤泥浮选尾矿图片采样分析系统的可行性。该系统根据设定的时间间隔定时采集尾矿图片,利用Open CV自建的视觉函数库将相关图片转换为灰度图片,并通过软件算法剔除采样过程中光照和气泡的干扰,再存储图片和灰度数据。研究表明:该系统采集图片的客观性和真实性显著提高,为验证图片灰度与尾矿灰分的关系提供了成本低廉、质量可靠的解决方案。 For easy access to flotation tailings image information and defining the image grayscale in rela- tion to ash of tailings, an investigation is made into the feasibility of developing a flotation tailings image sampling analysis system using the USB video acquisition card coupled with VS2010 platform, based on OpenCV open-source computer vision function library. The system can collect the images if tailings at pre- set time interval and then convert the images into gray images using OpenCV~ self-buih video function li- brary. Finally, the images and gray images are sorted after eliminating the interference of light and air bub- bles during the sampling process with software algorithm. Result of study indicates the system can collect image with noticeably improved objectivity and authenticity. This provides a coat-effective and high-per- formance reliable approach for verifying the relationship between grayscale of image and ash of railings.
作者 高鹏
出处 《选煤技术》 CAS 2016年第3期72-74,78,共4页 Coal Preparation Technology
基金 天地科技"公司研发项目"(KJ-2014-TSKY-02)
关键词 尾矿灰分 图片灰度 视觉函数库 OPENCV tailings ash image gray value video function library OpenCV
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参考文献3

  • 1BRADSKIG,KAEBLERA.学习OpenCV[M].于仕琪,刘瑞琪,译.北京:清华大学出版社,2009.
  • 2包玉奇,杨洁明.基于机器视觉的浮选尾矿灰分检测[J].煤炭技术,2015,34(9):313-316. 被引量:13
  • 3王晓坤,张卫军,高鹏,等.一种浮选尾矿灰分在线检测装置:201320375280. 5 [P] . 2013 -11 -20.

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