{"title":"利用优化的优势成分分析对酵母细胞显微图像进行脱色","authors":"I. Bajla, M. Teplan, M. Chvosteková","doi":"10.23919/MEASUREMENT47340.2019.8780082","DOIUrl":null,"url":null,"abstract":"Within the pipeline of microscopic yeast cell image operations, a problem of decoloring is addressed. The approach proposed by Grundland et al. is analyzed and improved. A special color phantom for yeast cell images is constructed. An optimum combination of two controlling parameters of this decoloring method is found for phantom segmentation, by precision and recall characteristics in comparison to Ground truth.","PeriodicalId":129350,"journal":{"name":"2019 12th International Conference on Measurement","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image Decoloring via Optimized Predominant Component Analysis for Segmentation of Microscopic Yeast Cell Images\",\"authors\":\"I. Bajla, M. Teplan, M. Chvosteková\",\"doi\":\"10.23919/MEASUREMENT47340.2019.8780082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Within the pipeline of microscopic yeast cell image operations, a problem of decoloring is addressed. The approach proposed by Grundland et al. is analyzed and improved. A special color phantom for yeast cell images is constructed. An optimum combination of two controlling parameters of this decoloring method is found for phantom segmentation, by precision and recall characteristics in comparison to Ground truth.\",\"PeriodicalId\":129350,\"journal\":{\"name\":\"2019 12th International Conference on Measurement\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th International Conference on Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MEASUREMENT47340.2019.8780082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th International Conference on Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MEASUREMENT47340.2019.8780082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Decoloring via Optimized Predominant Component Analysis for Segmentation of Microscopic Yeast Cell Images
Within the pipeline of microscopic yeast cell image operations, a problem of decoloring is addressed. The approach proposed by Grundland et al. is analyzed and improved. A special color phantom for yeast cell images is constructed. An optimum combination of two controlling parameters of this decoloring method is found for phantom segmentation, by precision and recall characteristics in comparison to Ground truth.
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