{"title":"Application of Switching Median Filter in Two-Dimensional Otsu Image Segmentation","authors":"Hanmin Ye, Shi Yan, Xue Bai","doi":"10.1109/ICNISC.2017.00063","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that traditional 2D Otsu algorithm is poor in image segmentation with serious noise pollution, a new image segmentation method based on the combination of median filter and 2-D Otsu is proposed. By using the switching median filter to the noise image anti-noise, and then use the two-dimensional Otsu to image segmentation to improve the segmentation effect. The experimental results show that the new method has a good segmentation effect on the gray image with high noise, and the advantage of this algorithm is more obvious when the noise is stronger.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Aiming at the problem that traditional 2D Otsu algorithm is poor in image segmentation with serious noise pollution, a new image segmentation method based on the combination of median filter and 2-D Otsu is proposed. By using the switching median filter to the noise image anti-noise, and then use the two-dimensional Otsu to image segmentation to improve the segmentation effect. The experimental results show that the new method has a good segmentation effect on the gray image with high noise, and the advantage of this algorithm is more obvious when the noise is stronger.