机构地区: 中国矿业大学北京机电与信息工程学院
出 处: 《煤炭学报》 2006年第1期94-98,共5页
摘 要: 针对煤泥浮选泡沫灰度图像统计纹理特征问题,通过实验室浮选柱试验,采集了大量的煤泥浮选泡沫图像,分析了泡沫图像的类别及特征,提出了描述浮选泡沫纹理特征的灰度行程矩阵提取算法,并进一步提取灰度行程矩阵的行程因子特征参数来描述浮选泡沫的视觉纹理特征,分析了各特征参数随浮选时间的变化关系.研究表明,泡沫灰度行程因子特征参数能够表征浮选泡沫图像纹理特征,并与特定的泡沫状态相关,可为煤泥浮选视觉监控系统提供泡沫状态信息. Aiming at the problem of statistical texture features of coal flotation froth image, many images of coal flotation froth were collected in laboratory. The types and features of froth image were analyzed. Method of extracting gray run length matrix was presented. The run length factors were extracted, which show visual feature of froth. Relationship of these features were studied with flotation time. The result shows that theses parameters show the texture features of coal flotation froth image, which has relationship with special types of froth. The information about froth was offered for visual supervision system of coal flotation.
领 域: [矿业工程]