TG84
“211工程”重点学科建设基础研究项目.致谢：感谢重庆大学纳米工作站为本文提供扫描数据.
采用分水岭算法得到三雏粗糙度motif．提出最小面积选择原则对粗糙度motif进行初始合并，去除被认为是噪音的非显著motif．通过溢出点面积阀值对粗糙度motif进行进一步的合并及多等级的分析，同时采用高度判断标准以防止对含有公共显著峰的2个motif进行合并．最后对扫描隧道显微镜所扫得的C（100）面进行分析，得到了该表面的motif参数，分析该表面的纹理，展示了该方法的独到之处，并对三维motif方法波动特性进行了分析．
The 2D motif method is a surface characterization method promising to separate roughness and waviness from a profile and is adopted by ISO,so is meaningful to extend this method to 3D.Vincent's watershed algorithm is employed for the generation of 3D-motif.A smallest area selecting criteria is proposed for the use of clearing the small motifs which are concerned as noise.As there are no manipulating factors as 2D-method,a multi-scale analysis is employed based on area and depth criteria,the use of depth criteria is to prevent the combination of two adjacent motifs if there is a significant peak on the border of them.Finally the surface of C(100) are analyzed by the presented method,the texture of this surface has been characterized.
李志强 陈小安 杨学恒 韩贤武.三维motif方法及其对微观形貌的表征[J].重庆大学学报,2006,29(11):10-14.
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