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。Abstract: For easy access to flotation tailings image information and defining the image grayscale in relation 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 Open CV open-source computer vision function library. The system can collect the images if tailings at preset time interval and then convert the images into gray images using Open CV’s self-built video function library. Finally,the images and gray images are sorted after eliminating the interference of light and air bubbles 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-performance reliable approach for verifying the relationship between grayscale of image and ash of tailings.
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