Nanoparticle Size Measurement Method Based on Improved Watershed Segmentation

Yue Wu, Wen Wang, Fang Zhang, Zhitao Xiao, Jun Wu, Lei Geng
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引用次数: 9

Abstract

In order to measure the size of nanoparticles accurately and evaluate the quality of nanomaterials, a method using the improved watershed algorithm for particle separation is proposed based on the nanoparticle images captured by the transmission electron microscopy (TEM). Firstly, the image is enhanced by filtering after gray-stretched, and then the binary image is obtained by threshold. The distance transform is performed on the image, and the watershed algorithm is used to segment the image to obtain the individual particles. Finally, the particle boundary is fitted, and the particle size is obtained by combining the pixel calibration results. The experimental results show that the particle segmentation method based on the improved watershed can segment the adhesion nanoparticles effectively, and the particle size measured on the basis is accurate and reliable.
基于改进分水岭分割的纳米颗粒尺寸测量方法
为了准确测量纳米颗粒的大小和评价纳米材料的质量,提出了一种基于透射电子显微镜(TEM)捕获的纳米颗粒图像,采用改进分水岭算法进行颗粒分离的方法。首先对图像进行灰度拉伸滤波增强,然后采用阈值法得到二值图像。对图像进行距离变换,利用分水岭算法对图像进行分割,得到单个粒子。最后,对粒子边界进行拟合,结合像素标定结果得到粒子尺寸。实验结果表明,基于改进分水岭的颗粒分割方法可以有效分割粘附纳米颗粒,在此基础上测量的颗粒大小准确可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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