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煤粒图像特征随煤质指标的变化趋势研究

Research on The Change Trend in Coal Index and The Image Features of Coal Granule

中文摘要英文摘要

基于数字化选煤的思想,通过MATLAB编写软件,利用图像识别技术处理分析煤粒图像,提取出26个图像特征量:通过RGB和HSV两个参考系统中得出红、绿、蓝、色度的一、二、三阶距(即均值、标准差和斜度);在灰度图像中得出灰度的一、二、三阶距,纹理特征参数之对比度、相对性、能量、逆差矩、熵、粗糙度、Tamura对比度、方向度、线性度、规整度和粗略度。研究其与煤质指标(灰分和密度)的变化趋势,通过数据和图表直接明了的展现出来,为后续利用图像特征预测煤质指标提供了理论依据,具有很强的现实意义。

Based on digital coal preparation, through the MATLAB software, using image recognition technology analysis of coal, grain image extracted from 26 image characteristics: through two reference system and HSV RGB in red, green, blue, chroma of the first, second and third order mean and standard deviation from (namely); and the gradient In gray image gray-scale in the first, second and third order from the contrast, the texture characteristics parameters, relativity, energy, deficit torque and entropy, roughness and Tamura contrast, direction, linearity, neat and rough degree. Research and its coal ash and density) index (the change trend, through the data and graph direct palpability displayed using the image characteristics for forecasting coal index provides theory basis, with strong practical significance.

张泽琳

选矿矿产资源综合利用

煤粒图像识别特征量预测煤质指标

oalImage recognitionCharacteristicForecastoal index

张泽琳.煤粒图像特征随煤质指标的变化趋势研究[EB/OL].(2010-09-02)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201009-49.点此复制

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