{"title":"基于数学形态学的细胞图像分割分水岭算法","authors":"Wei-bin Chen, Xin Zhang","doi":"10.1109/MVHI.2010.55","DOIUrl":null,"url":null,"abstract":"A new watershed algorithm based on mathematical morphology is proposed and applied to cellular image segmentation. The improvement segmentation method of the watershed algorithm based on the marker introduce the idea of morphological reconstruction during the pretreatment, at the same time, use a relatively new method of coercing calibration of the minimum in the watershed transform. With the original method of simulation experiments, the method can be more accurate segmentation results. Compared with other tradition methods, requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.","PeriodicalId":34860,"journal":{"name":"HumanMachine Communication Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A New Watershed Algorithm for Cellular Image Segmentation Based on Mathematical Morphology\",\"authors\":\"Wei-bin Chen, Xin Zhang\",\"doi\":\"10.1109/MVHI.2010.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new watershed algorithm based on mathematical morphology is proposed and applied to cellular image segmentation. The improvement segmentation method of the watershed algorithm based on the marker introduce the idea of morphological reconstruction during the pretreatment, at the same time, use a relatively new method of coercing calibration of the minimum in the watershed transform. With the original method of simulation experiments, the method can be more accurate segmentation results. Compared with other tradition methods, requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.\",\"PeriodicalId\":34860,\"journal\":{\"name\":\"HumanMachine Communication Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HumanMachine Communication Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MVHI.2010.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HumanMachine Communication Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVHI.2010.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
A New Watershed Algorithm for Cellular Image Segmentation Based on Mathematical Morphology
A new watershed algorithm based on mathematical morphology is proposed and applied to cellular image segmentation. The improvement segmentation method of the watershed algorithm based on the marker introduce the idea of morphological reconstruction during the pretreatment, at the same time, use a relatively new method of coercing calibration of the minimum in the watershed transform. With the original method of simulation experiments, the method can be more accurate segmentation results. Compared with other tradition methods, requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.