摘要
不同的物质具有不同的显微形状结构,使用偏光显微镜获取物质的显微图像,应用阈值分割算法得到物质图像的粗分割结果,利用分水岭分割算法分离互相粘连的物质,分离出物质对象区域;应用该区域简单几何特征识别不同的形状,实现了物质成分的自动识别分类。
Different materials have different microscopic shape structure. In the research, the microscopic images of material are obtained with polarizing microscope. With threshold segmentation algorithm, the coarse segmentation results are obtained, and then with watershed segmentation algorithm, the attached materials are separated, finally the object regions of different material are obtained. With simple geometric characteristics, different shapes are recognized ,which can realize the automatic recognition and classification of material compo- nent.
出处
《重庆工商大学学报(自然科学版)》
2008年第5期541-543,552,共4页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
福建省自然科学基金计划资助项目(2006J0299)
福建省教育厅资助项目(2007F5009
JA07077
JB06120)。
关键词
图像
物质成分
对象识别
image
material component
object recognition