显微图像粒度检测系统研究  

MICROPHOTOGRAPH GRANULARITY EXAMINATION SYSTEM RESEARCH

作　　者：王大海[1] 黄学雨[1] 刘琮[1] 陈智芳[2] 

机构地区：[1]江西理工大学信息工程学院,江西赣州341000 [2]河南师范大学计算机与信息技术学院,河南新乡453007

出　　处：《矿冶》2008年第2期114-116,123,共4页Mining And Metallurgy

摘　　要：在显微颗粒图像研究的基础上,以分水岭算法和极限腐蚀算法为关键步骤,研究开发显微图像粒度检测系统,从噪声较为复杂的颗粒图像中有效地分割出目标图像,较好地解决了颗粒粘连以及重叠问题,从而得到较高准确度的粒度信息。对铜精矿实践应用结果表明,该系统具备较好的适应性和推广性,为之后的研究提供了一定的参考和借鉴作用。Based on granule microphtograph research, the microphtograph granularity examination system is investigated by the watershed-method and ultimate erosion method. The goalpicture is effectively divided from noise more complex granule picture, The adhesion and superposition of granule are solved, The higher accuracy information for the granularity is obtained. The practice application results of copper concentrate by the method show that the system has a better compatibility and the generalization,it provides the reference for the after research.

关 键 词：图像处理 粒度 分水岭算法 极限腐蚀 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]