组织切片法鉴定昆虫浸润时间

International Conference on Quality Control by Artificial Vision Pub Date : 2021-07-16 DOI:10.1117/12.2588838

Y. Hashiguchi, K. Terada, K. Shinozaki, K. Miyama

{"title":"组织切片法鉴定昆虫浸润时间","authors":"Y. Hashiguchi, K. Terada, K. Shinozaki, K. Miyama","doi":"10.1117/12.2588838","DOIUrl":null,"url":null,"abstract":"Since contamination of food products by insects can cause serious damage to manufacturers, it is necessary to determine the timing of contamination as a countermeasure. However, manual surveys are time consuming and expensive. In this paper, we propose a method for automatic identification of insect infiltration routes using image processing.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of insect infiltration time by tissue slice\",\"authors\":\"Y. Hashiguchi, K. Terada, K. Shinozaki, K. Miyama\",\"doi\":\"10.1117/12.2588838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since contamination of food products by insects can cause serious damage to manufacturers, it is necessary to determine the timing of contamination as a countermeasure. However, manual surveys are time consuming and expensive. In this paper, we propose a method for automatic identification of insect infiltration routes using image processing.\",\"PeriodicalId\":295011,\"journal\":{\"name\":\"International Conference on Quality Control by Artificial Vision\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Quality Control by Artificial Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2588838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Quality Control by Artificial Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2588838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

由于食品被昆虫污染会对制造商造成严重损害，因此有必要确定污染时间作为对策。然而，手工调查既耗时又昂贵。本文提出了一种基于图像处理的昆虫渗透路径自动识别方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Identification of insect infiltration time by tissue slice

Since contamination of food products by insects can cause serious damage to manufacturers, it is necessary to determine the timing of contamination as a countermeasure. However, manual surveys are time consuming and expensive. In this paper, we propose a method for automatic identification of insect infiltration routes using image processing.

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

International Conference on Quality Control by Artificial Vision

自引率

0.00%

发文量