Elimination of blurred images of cellular fields to virtualize a slide

L. Garcés, H. Gualdron, A. Gómez
{"title":"Elimination of blurred images of cellular fields to virtualize a slide","authors":"L. Garcés, H. Gualdron, A. Gómez","doi":"10.1109/STSIVA.2012.6340579","DOIUrl":null,"url":null,"abstract":"The cell analysis, usually performed by specialists to diagnose a patient, has drawbacks. Since the sample has a short biological life cycle; moreover, it is prone to alterations by inappropriate handling. One solution to this problem is the digitalization and virtualizations of slides. The group of Development and Technological Innovation-DIT- of BIOSYS LTDA Company is developing a technique. This consists of slide digitization under a microscope (several shots of images of cell fields) and subsequent virtualization, while the user (Bacteriologist or technologist, etc.) performs their daily work. Due to blurring (caused by slide movement) at moment of reading the slide, not all pictures can be used for slide virtualization. For this reason, we must choose the image of each cell field, with less blur. This work presents the results of the implementation of a direct method based on the application of the Haar Wavelet Transform, to detect and eliminate blurred images which are not necessary in the creation of a virtual slide. The results were obtained from a database with 20 sets of cell fields, which for each field were available 15 images with different focus conditions.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2012.6340579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The cell analysis, usually performed by specialists to diagnose a patient, has drawbacks. Since the sample has a short biological life cycle; moreover, it is prone to alterations by inappropriate handling. One solution to this problem is the digitalization and virtualizations of slides. The group of Development and Technological Innovation-DIT- of BIOSYS LTDA Company is developing a technique. This consists of slide digitization under a microscope (several shots of images of cell fields) and subsequent virtualization, while the user (Bacteriologist or technologist, etc.) performs their daily work. Due to blurring (caused by slide movement) at moment of reading the slide, not all pictures can be used for slide virtualization. For this reason, we must choose the image of each cell field, with less blur. This work presents the results of the implementation of a direct method based on the application of the Haar Wavelet Transform, to detect and eliminate blurred images which are not necessary in the creation of a virtual slide. The results were obtained from a database with 20 sets of cell fields, which for each field were available 15 images with different focus conditions.
消除细胞场的模糊图像,使幻灯片虚拟化
细胞分析通常由专家进行诊断,存在缺陷。由于样品的生物生命周期短;此外,由于处理不当,它很容易发生变化。这个问题的一个解决方案是幻灯片的数字化和虚拟化。百思科技有限公司的开发与技术创新小组(dit)正在开发一种技术。这包括显微镜下的幻灯片数字化(细胞场的几张图像)和随后的虚拟化,而用户(细菌学家或技术专家等)执行他们的日常工作。在阅读幻灯片时,由于幻灯片移动造成的模糊,并非所有图片都可以用于幻灯片虚拟化。为此,我们必须选择每个单元格字段的图像,模糊较少。这项工作提出了基于Haar小波变换应用的直接方法的实现结果,以检测和消除在创建虚拟幻灯片中不必要的模糊图像。结果来自一个有20组单元格字段的数据库,每个字段有15张不同聚焦条件的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信