ZHANG Lidong1， LIU Chaoqing1， ZHU Mingliang1， YU Dingyi1， LI Shaohua2， WANG Qing1
（1. Engineering Research Centre of Ministry of Education for Comprehensive Utilization of Oil Shale， Northeast Dianli University， Jilin 132012； 2. China Datang Corporation Science and Technology Research Institute， Beijing 100033， China）
Abstract：To research the mixing situation of multi-component particle groups in low speed rotary drum, a method based on Photoshop and Matlab image processing was presented. An appropriate threshold was selected to segment the image. Matlab morphology principle was utilized to screen particles with different sizes. The particles numbers with different sizes were extracted to analyze the mixing mechanism of particle groups and calculate Lacey index which represented the mixing level of particles. The results show that the accuracy of this method can reach beyond 95% matching to the manual statistics in dealing with mixing of particle groups.
Keywords：particle group mixing; image processing; threshold segmentation; particlesextraction
文章编号：1008-5548（2013）04-0042-05
DOI：10.3969/j.issn.1008-5548.2013.04.011
收稿日期：2012-12-28，修回日期：2013-02-27，在线出版时间：2013-08-25。
基金项目：国家潜在油气资源（油页岩勘探开发利用）产学研用合作创新研究项目，编号：OSR-05；吉林省重大科技发展计划项目，编号：20096034。
第一作者简介：张立栋（1980—），男，博士，副教授，研究方向为油页岩综合利用及回转装置内颗粒混合与分离。 E-mail： nedu1015@yahoo.com.cn。
