Yue Wu, Wen Wang, Fang Zhang, Zhitao Xiao, Jun Wu, Lei Geng
{"title":"基于改进分水岭分割的纳米颗粒尺寸测量方法","authors":"Yue Wu, Wen Wang, Fang Zhang, Zhitao Xiao, Jun Wu, Lei Geng","doi":"10.1145/3277453.3286087","DOIUrl":null,"url":null,"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.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Nanoparticle Size Measurement Method Based on Improved Watershed Segmentation\",\"authors\":\"Yue Wu, Wen Wang, Fang Zhang, Zhitao Xiao, Jun Wu, Lei Geng\",\"doi\":\"10.1145/3277453.3286087\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":186835,\"journal\":{\"name\":\"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3277453.3286087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3277453.3286087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nanoparticle Size Measurement Method Based on Improved Watershed Segmentation
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.