基于ImageJ对粘连彩色颗粒的分割  

Segmentation of Color Adhension Particles Based on ImageJ

作　　者：胡月[1] 容幸福[1] 秦志钰[1] 

机构地区：[1]太原理工大学机械工程学院,山西太原030024

出　　处：《机械设计与制造》2013年第3期105-107,110,共4页Machinery Design & Manufacture

基　　金：山西省留学办山西省留学归国人员科研项目(2010-40)

摘　　要：通过对矿山作业工人工作环境的调查,发现极端恶劣的工作环境对工人身体健康造成了极大地伤害,所以提出了对复摆颚式破碎机智能化物料监控系统的课题。针对复摆颚式破碎机初碎时入料或排料口处物料实时监测问题,基于ImageJ图像分析功能,对单粒和分散多粒图像进行预处理,并且提取图像的轮廓。在监测待破碎物料时,提出了对颗粒分布不均匀、形状无规则且形成连通区域的复杂粘连的彩色颗粒图像分割的方法和颗粒粒度参数测量的直方图分布。Through the investigation of mine workers exposed to the work environment,it was found that extreme working environment caused great hurt to the health of workers,so the subject of the monitoring system of intelligent materials of the jaw crusher was raised.Coarse crushing for compound pendulum jar crusher enters the material and discharging port real-time monitoring,and based on the ImageJ image analysis functions,image pre-processing of single particles and grain were scattered,and the outline of the image was extracted.When the monitoring of materials was waiting to be broken,it put forward the uneven distribution of particle shape,irregular particle shape and adhension color particles image segmentation methods and particl size parameter measurement of the histogram distribution.

关 键 词：颚式破碎机 IMAGEJ 复杂粘连图像 Freehands Selection工具 粒度测定 

分 类 号：TH16[机械工程—机械制造及自动化]