基于知识的浮游有孔虫自动分类系统

S. Liu, M. Thonnat, M. Berthod
{"title":"基于知识的浮游有孔虫自动分类系统","authors":"S. Liu, M. Thonnat, M. Berthod","doi":"10.1109/CAIA.1994.323653","DOIUrl":null,"url":null,"abstract":"The identification of foraminifera is an important task in oil exploration. However, this task is tedious and time-consuming. In this work, a knowledge-based system is developed for the identification of planktonic foraminifera. The identification process is made automatic by means of computer vision techniques. Currently, the knowledge-based system, though just being a prototype in this stage of its development, is able to identify several important species of planktonic foraminifera based on the parameters obtained by the image analysis algorithms. An overview of our method and the main components of the knowledge-based system are discussed.<<ETX>>","PeriodicalId":297396,"journal":{"name":"Proceedings of the Tenth Conference on Artificial Intelligence for Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Automatic classification of planktonic foraminifera by a knowledge-based system\",\"authors\":\"S. Liu, M. Thonnat, M. Berthod\",\"doi\":\"10.1109/CAIA.1994.323653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification of foraminifera is an important task in oil exploration. However, this task is tedious and time-consuming. In this work, a knowledge-based system is developed for the identification of planktonic foraminifera. The identification process is made automatic by means of computer vision techniques. Currently, the knowledge-based system, though just being a prototype in this stage of its development, is able to identify several important species of planktonic foraminifera based on the parameters obtained by the image analysis algorithms. An overview of our method and the main components of the knowledge-based system are discussed.<<ETX>>\",\"PeriodicalId\":297396,\"journal\":{\"name\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIA.1994.323653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Tenth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1994.323653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27

摘要

有孔虫的识别是石油勘探中的一项重要任务。然而,这项任务既繁琐又耗时。在这项工作中,开发了一个基于知识的系统来识别浮游有孔虫。通过计算机视觉技术使识别过程自动化。目前,基于知识的系统虽然在发展阶段只是一个雏形,但已经能够根据图像分析算法获得的参数识别出几种重要的浮游有孔虫。概述了我们的方法和基于知识的系统的主要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Automatic classification of planktonic foraminifera by a knowledge-based system
The identification of foraminifera is an important task in oil exploration. However, this task is tedious and time-consuming. In this work, a knowledge-based system is developed for the identification of planktonic foraminifera. The identification process is made automatic by means of computer vision techniques. Currently, the knowledge-based system, though just being a prototype in this stage of its development, is able to identify several important species of planktonic foraminifera based on the parameters obtained by the image analysis algorithms. An overview of our method and the main components of the knowledge-based system are discussed.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
OaSiS: integrating safety reasoning for decision support in oncology Memory-based parsing with parallel marker-passing A study of an expert system for interpreting human walking disorders Integrating case-based reasoning, knowledge-based approach and Dijkstra algorithm for route finding Learning control knowledge through cases in schedule optimization problems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1