摘要
基于数学形态学对室内悬浮颗粒物图像进行图像处理,检测了颗粒物粒径,分形维数和形状系数等重要形态学参数.通过显微观察法,将颗粒物近似分为几个标准的类,以形状系数和分形维数为每一类的观测数据,提出了一种颗粒物判别分析归类的方法,将待测颗粒物归类,实现颗粒物的粒形、体积和表面积的按类近似估计;分析颗粒物的来源,估算颗粒物的密度,计算得出室内悬浮颗粒物浓度和粒径分布的实验数据.这种测量方法可以同时获取颗粒物的质量浓度、总表面积和体积浓度与粒径分布情况.
Based on mathematics morphology, this paper carries out the image processing of the indoor suspended particulate matters,and measures the morphology parameter such as size,fractal dimension and form factor etc. By microscopic observation, this paper approximately classifies the particulate matter into several standard types. Adopting the shape coefficient and the fractal dimension as obser- vational data of each type,a discriminant analysis classified method of particles has been put forward which can estimate the shape,volume and surface area. By analysing the sources of particles and esti- mating the density of particles, the mass concentration, total surface area and volume concentration and particle size distrihution of indoor suspended particulate matters can be obtained at the same time.
出处
《武汉理工大学学报(交通科学与工程版)》
2013年第2期316-320,共5页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
湖北省教学研究项目资助(批准号:2007ABA195)
关键词
室内悬浮颗粒物
判别分析法
形状因子
分形维数
浓度与粒径分布
indoor suspended particulate matters
the discriminant analysis classified method
the shape coefficien~ the fractal dimension concentration and size distribution