量子点的原子力显微镜测试结果分析：数学形态学的实现

提出了从原子力显微镜(AFM)照片中分割出量子点的算法,可以利用程序自动地统计照片中量子点的各种数据.该算法基于数学形态学的方法,包括三个步骤:首先根据照片中每个局部最高点的dynamics值,利用标记分水岭分割方法初步将每个量子点分开;第二步根据量子点的定义,从每个区域中提取出量子点;第三步,为了防止分割过程中将部分衬底一起提取,利用量子点的高度-面积分布,将多余衬底滤去.该算法具有快速、对噪声不敏感的特点,能准确地提取量子点的高度、横向尺寸、体积等数据.

Mathematical Morphology Based Algorithm to Measure Quantum Dots from AFM Photos

This paper proposes an algorithm to obtain the statistic data of quantum dots from atomic force microscopy photos.Starting from identifying the dynamic values of each regional maximum,the peak of each qualified quantum dot is located.Their positions are used as the markers for the next step, which is to apply the marker watershed transform to obtain a rough segmentation of the quantum dots.According to the boundary of the coarse partition,each quantum dot is cut from the original photo.A process is then carried out to filter the possible attached substrates based on the area-height distribution of the current quantum dot.After all the above stages,all the quantum dots can be accurately and robustly extracted and thus their properties, such as height,lateral size,and volume,can easily be measured.