期刊文献+

基于计算机视觉的浮选泡沫颜色及尺寸测量方法 被引量:37

Froth color and size measurement method for flotation based on computer vision
下载PDF
导出
摘要 矿物浮选过程中,为了使浮选过程处于最优运行状态,获得量化的泡沫颜色与尺寸参数就至关重要。提出了一种基于计算机视觉的浮选泡沫颜色及尺寸测量方法,通过高性能彩色CCD摄像机获取泡沫图像,在此基础上采用相对红色分量测量泡沫颜色,并提出采用面积重构改进变换为分水岭变换提供标识,从而完成泡沫图像分割,对分割后的气泡区域进行象素标定得到气泡实际尺寸。工业运行数据分析结果表明,该方法能有效地测量浮选泡沫颜色及尺寸。 Froth quantitative parameters such as color and size are crucial to optimal running of mineral flotation process. In this paper, a measurement method for flotation froth color and size based on computer vision is presented. Froth images are captured by using a high performance color CCD camera, and the froth color is measured based on relative redness component. The mark image for watershed transform is provided by an improved area-reconstruction transform. On the basis of segmentation image, the bubble size is measured by calibrating segmentation regions pixels. The industrial application data analysis results show that the proposed method can measure the flotation froth color and size effectively.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第4期717-721,共5页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金重点项目(60634020) 国家自然科学基金(60874069 60804037) 国家863计划(2006AA04Z181)资助项目
关键词 浮选 泡沫颜色 气泡尺寸 相对红色分量 分水岭变换 flotation froth color bubble size relative redness component watershed transform
  • 相关文献

参考文献10

  • 1KAARTINEN J,HATONEN J,HYOTYNIEMI H,et al.Machine vision based control of zinc flotation--A case study[J].Control Engineering Practice,2006,14(12):1455-1466.
  • 2BONIFAZI G,SERRANTI S,VOLPE F,et al.Characterization of flotation froth colour and structure by machine vision[J].Computers & Geosciences,2001,27(9):1111-1117.
  • 3SADR-KAZEMI N,CILLIERS J J.An image processing algorithm for measurement of flotation froth bubble size and shape distributions[J].Minerals Engineering,1997,10(10):1075-1083.
  • 4VENTURA-MEDINA E,CILLIERS J J.Calculation of the specific surface area in flotation[J].Minerals Engineering,2000,13(3):265-275.
  • 5林小竹,谷莹莹,赵国庆.煤泥浮选泡沫图像分割与特征提取[J].煤炭学报,2007,32(3):304-308. 被引量:28
  • 6WANG W,BERGHOLM F,YANG B.Froth delineation based on image classification[J].Minerals Engineering,2003,16(3):1183-1192.
  • 7张雷,赵明扬,王立柱,高世一.基于数学形态学的激光拼焊熔池图像处理研究[J].仪器仪表学报,2007,28(9):1668-1672. 被引量:9
  • 8SALEMBIER P,SERRA J.Flat zones filtering connected operators and filters by reconstruction[J].IEEE Transactions on Image Processing,1995,4(8):1153-1160.
  • 9VINCENT L.Morphological grayscale reconstruction in image analysis:applications and efficient algorithms[J].IEEE Transactions on Image Processing,1993,2(2):176-201.
  • 10VINCENT L,SOILLE P.Watersheds in digital spaces:An Efficient algorithm based on immersion simulations[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1991,13(6):583-598.

二级参考文献20

共引文献35

同被引文献372

引证文献37

二级引证文献287

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部