基于图像处理的回转滚筒内颗粒群提取方法

Extraction Method of Particle Groups Based on Image Processing in Rotary Drum

为了研究低转速下回转滚筒内多组元颗粒群混合情况,提出Photoshop与Matlab图像处理相结合的方法;选取恰当的阈值进行图像分割,利用Matlab形态学原理对不同粒径的颗粒进行筛分,提取混合图像中不同粒径的颗粒个数,用于分析颗粒群的混合机理及计算表征颗粒混合度的Lacey指数。结果表明,与人工统计相比,该方法处理颗粒群混合问题的颗粒个数提取准确度可达95%以上。

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.