Automatic identification of cell files in light microscopic images of conifer wood

Pol Kennel, G. Subsol, M. Gueroult, P. Borianne
{"title":"Automatic identification of cell files in light microscopic images of conifer wood","authors":"Pol Kennel, G. Subsol, M. Gueroult, P. Borianne","doi":"10.1109/IPTA.2010.5586800","DOIUrl":null,"url":null,"abstract":"In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is composed of three steps: the segmentation step which extracts some anatomical structures from the image (based on the watershed algorithm), the classification step which identifies the interesting cells in these structures (by using CART method), and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2010.5586800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

In this paper, we present an automatic method to recognize cell files in light microscopic images of conifer wood. This original method is composed of three steps: the segmentation step which extracts some anatomical structures from the image (based on the watershed algorithm), the classification step which identifies the interesting cells in these structures (by using CART method), and the cell files recognition step. Some preliminary results obtained on several species of conifers are presented and analyzed.
针叶树光显微图像中细胞档案的自动识别
本文提出了一种自动识别针叶树光显微图像中细胞文件的方法。该方法由三个步骤组成:从图像中提取一些解剖结构的分割步骤(基于分水岭算法),识别这些结构中感兴趣的细胞的分类步骤(使用CART方法)和细胞文件识别步骤。本文介绍并分析了几种针叶树的初步研究结果。
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