We propose a content-based parallel image retrieval system to achieve high responding ability. Our system is developed on cluster architectures. It has several retrieval. servers to supply the service of content-based...We propose a content-based parallel image retrieval system to achieve high responding ability. Our system is developed on cluster architectures. It has several retrieval. servers to supply the service of content-based image retrieval. It adopts the Browser/Server (B/S) mode. The users could visit our system though web pages. It uses the symmetrical color-spatial features (SCSF) to represent the content of an image. The SCSF is effective and efficient for image matching because it is independent of image distortion such as rotation and flip as well as it increases the matching accuracy. The SCSF was organized by M-tree, which could speedup the searching procedure. Our experiments show that the image matching is quickly and efficiently with the use of SCSF. And with the support of several retrieval servers, the system could respond to many users at mean time. Key words content-based image retrieval - cluster architecture - color-spatial feature - B/S mode - task parallel - WWW - Internet CLC number TP391 Foundation item: Supported by the National Natural Science Foundation of China (60173058)Biography: ZHOU Bing (1975-), male, Ph. D candidate, reseach direction: data mining, content-based image retrieval.展开更多
目的:针对目前国内医学实验室管理水平不高、质量控制系统功能不完善的问题,设计功能全面、操作简便的医学实验室质量控制系统。方法:医学实验室质量控制系统基于浏览器/服务器(Browser/Server,B/S)架构,以Visual Studio Code和IntelliJ...目的:针对目前国内医学实验室管理水平不高、质量控制系统功能不完善的问题,设计功能全面、操作简便的医学实验室质量控制系统。方法:医学实验室质量控制系统基于浏览器/服务器(Browser/Server,B/S)架构,以Visual Studio Code和IntelliJ IDEA作为开发工具,采用Java、Python和JavaScript编程,并采用Tomcat作为Web服务器,采用MySQL 8.1.0和Redis数据库存储后端数据。该系统由实验室管理、质控图绘制、数据报告管理和系统管理4个功能模块构成。结果:该系统能够生成多种专业图表和报告,便捷地展示测试项目信息、快速定位失控信息,可在质控数据异常时自动提醒并记录原因,显著提高了医学实验室质量控制的灵活性、质控数据的完整性和有效性。结论:该系统能够满足医学实验室质控数据统计与分析的需求,有效减少质控失误,显著提升实验室质量控制管理工作的效率。展开更多
文摘We propose a content-based parallel image retrieval system to achieve high responding ability. Our system is developed on cluster architectures. It has several retrieval. servers to supply the service of content-based image retrieval. It adopts the Browser/Server (B/S) mode. The users could visit our system though web pages. It uses the symmetrical color-spatial features (SCSF) to represent the content of an image. The SCSF is effective and efficient for image matching because it is independent of image distortion such as rotation and flip as well as it increases the matching accuracy. The SCSF was organized by M-tree, which could speedup the searching procedure. Our experiments show that the image matching is quickly and efficiently with the use of SCSF. And with the support of several retrieval servers, the system could respond to many users at mean time. Key words content-based image retrieval - cluster architecture - color-spatial feature - B/S mode - task parallel - WWW - Internet CLC number TP391 Foundation item: Supported by the National Natural Science Foundation of China (60173058)Biography: ZHOU Bing (1975-), male, Ph. D candidate, reseach direction: data mining, content-based image retrieval.
文摘目的:针对目前国内医学实验室管理水平不高、质量控制系统功能不完善的问题,设计功能全面、操作简便的医学实验室质量控制系统。方法:医学实验室质量控制系统基于浏览器/服务器(Browser/Server,B/S)架构,以Visual Studio Code和IntelliJ IDEA作为开发工具,采用Java、Python和JavaScript编程,并采用Tomcat作为Web服务器,采用MySQL 8.1.0和Redis数据库存储后端数据。该系统由实验室管理、质控图绘制、数据报告管理和系统管理4个功能模块构成。结果:该系统能够生成多种专业图表和报告,便捷地展示测试项目信息、快速定位失控信息,可在质控数据异常时自动提醒并记录原因,显著提高了医学实验室质量控制的灵活性、质控数据的完整性和有效性。结论:该系统能够满足医学实验室质控数据统计与分析的需求,有效减少质控失误,显著提升实验室质量控制管理工作的效率。
