引用本文:周璇,阳春华,任会峰,陈志鹏,曾子骄.基于旋转分类模糊纹理谱的矿物浮选泡沫平滑度分析(英文)[J].控制理论与应用,2013,30(9):1153~1158.[点击复制]
ZHOU Xuan,YANG Chun-hua,REN Hui-feng,CHEN Zhi-peng,ZENG Zi-jiao.Froth homogeneity analysis using rotate classification fuzzy texture spectrum for mineral flotation process monitoring[J].Control Theory and Technology,2013,30(9):1153~1158.[点击复制]
基于旋转分类模糊纹理谱的矿物浮选泡沫平滑度分析(英文)
Froth homogeneity analysis using rotate classification fuzzy texture spectrum for mineral flotation process monitoring
摘要点击 2935  全文点击 1927  投稿时间：2012-03-09  修订日期：2013-05-17
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/CTA.2013.12049
  2013,30(9):1153-1158
中文关键词  泡沫浮选  纹理特征  模糊控制  旋转分类  机器视觉
英文关键词  froth flotation  texture feature  fuzzy control  rotate classification  computer vision
基金项目  This work was supported by the National Natural Science Foundation of China (No.61134006), the National Science Foundation for Distinguished Young Scholars (No.61025015), and Foundation Sciences Central South University.
作者单位E-mail
周璇 中南大学 信息科学与工程学院 zhoux316@126.com 
阳春华 中南大学 信息科学与工程学院  
任会峰* 中南大学 信息科学与工程学院 renhf316@163.com 
陈志鹏 中南大学 信息科学与工程学院  
曾子骄 中南大学 信息科学与工程学院  
中文摘要
      矿物浮选的精矿品位与泡沫的纹理复杂度密切相关. 为了避免纹理谱方法中像素值的刚性比较, 提出了一种新的基于旋转分类模糊纹理谱的纹理描述方法用于金属矿物分离. 经过指数函数拟合频率分布曲线, 确定模糊阈值大小, 统计模糊纹理单元, 给出了灰度差值的模糊纹理谱, 并利用旋转分类将6561种纹理单元简化至834种. 基于此, 引入2个描述因子, 纹理平滑度与粗糙度. 实际应用结果表明, 纹理平滑度可描述图像纹理粗糙程度, 同时反映实时矿物品位.
英文摘要
      The concentration grade in mineral flotation is closely related to the froth texture complexity. To deal with the defects of rigid comparison of basic texture spectrum, we present a novel rotate classification fuzzy texture spectrum method for mineral separation process from engineering aspects. The frequency-statistics curve of neighborhood pixels grayscale difference is fitted by using an exponential function, and the optimal threshold value of the fuzzy internal is determined. According to the grayscale difference between neighborhood pixels and seed pixel in local region, the fuzzy texture unit is constructed, which is used to calculate the fuzzy texture spectrum of various fuzzy texture unit numbers. Meanwhile, the original 6561 texture units are simplified to 834 classes. The homogeneity and the coarseness are introduced to describe the froth texture feature. The analysis results of froth images with different grades in spot show that the texture homogeneity can reflect the concentration grade in real-time.