K. Ezhova, Andrey Veremenko, Ksenia Baranova, Alexander Belaykov, Vladislav Cherebedov, Evgeny Lanskov
{"title":"生物实验结果分析的基本计算机视觉方法的实现","authors":"K. Ezhova, Andrey Veremenko, Ksenia Baranova, Alexander Belaykov, Vladislav Cherebedov, Evgeny Lanskov","doi":"10.51130/graphicon-2020-2-3-72","DOIUrl":null,"url":null,"abstract":"The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments\",\"authors\":\"K. Ezhova, Andrey Veremenko, Ksenia Baranova, Alexander Belaykov, Vladislav Cherebedov, Evgeny Lanskov\",\"doi\":\"10.51130/graphicon-2020-2-3-72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.\",\"PeriodicalId\":344054,\"journal\":{\"name\":\"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51130/graphicon-2020-2-3-72\",\"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 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51130/graphicon-2020-2-3-72","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
本文讨论了“莫里斯水迷宫”、“开阔场地”、“高架十字形迷宫”实验结果自动化处理所必需的视频处理方法,这些实验用于研究实验室小鼠对各种外部因素的行为,以及对恒河猴活动的日常跟踪实验。使用c++编程语言对接收到的信息进行处理,包括OpenCV 3.2和Qt 5.2库。在本文的后面,本文讨论了新的应用,以进一步研究本文所述的发现。为了进一步应用,建议进行猴子观察。根据讨论和提出的视频处理和实验自动化方法的相似性进行选择。对于已审查的方法,其优点和缺点都包括在工作中。每个实验“Morris Water Maze”、“Open Field”、“Elevated cross - shaped Maze”都有相应的图像序列供不熟悉的人参考。
Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments
The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.