{"title":"基于弱监督学习的数字全息浮游生物重建","authors":"Harshal Chaudhari, R. Kulkarni, M. Bhuyan","doi":"10.1364/dh.2022.w5a.6","DOIUrl":null,"url":null,"abstract":"Weakly-supervised learning-based technique is employed for hologram reconstruction of planktons recorded in digital in-line holographic setup. One-level wavelet decomposition of the reconstructed image is computed to generate a mask and subsequently a ground truth image to train the network.","PeriodicalId":227456,"journal":{"name":"Digital Holography and 3-D Imaging 2022","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography\",\"authors\":\"Harshal Chaudhari, R. Kulkarni, M. Bhuyan\",\"doi\":\"10.1364/dh.2022.w5a.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weakly-supervised learning-based technique is employed for hologram reconstruction of planktons recorded in digital in-line holographic setup. One-level wavelet decomposition of the reconstructed image is computed to generate a mask and subsequently a ground truth image to train the network.\",\"PeriodicalId\":227456,\"journal\":{\"name\":\"Digital Holography and 3-D Imaging 2022\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Holography and 3-D Imaging 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/dh.2022.w5a.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Holography and 3-D Imaging 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/dh.2022.w5a.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weakly Supervised Learning-based Reconstruction of Planktons in Digital In-line Holography
Weakly-supervised learning-based technique is employed for hologram reconstruction of planktons recorded in digital in-line holographic setup. One-level wavelet decomposition of the reconstructed image is computed to generate a mask and subsequently a ground truth image to train the network.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
