可溯源电镜图像管理与检索信息系统的研究与应用
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摘要
针对电镜分析测试工作中存在的实验信息、样品资料和电镜图像间相互割裂,用户不能便捷地获取实验结果图像和难以进行溯源监管等问题,研发了可溯源电镜图像管理与检索信息系统,实现了实验信息、样品资料和电镜图像的一体化管理和电镜图像即时传递,采用以"图搜图"的反向图片搜索算法,实现电镜图像的可溯源管理。
Aiming at solving the management problems in electron microscopy( EM) analysis work,including separation of sample information and relevant electron microscope image,the traceable EM image management and retrieval information system depicted in this paper is developed to overcome the inconvenience of getting results and making image transferring and tracing. It can realize the comprehensive management and traceable management of Electron microscopy images for experimental information,sample data and electron microscopy images,real-time transmission of result images,and traceability of electron microscopy image by content-based image retrieval algorithm.
Aiming at solving the management problems in electron microscopy( EM) analysis work,including separation of sample information and relevant electron microscope image,the traceable EM image management and retrieval information system depicted in this paper is developed to overcome the inconvenience of getting results and making image transferring and tracing. It can realize the comprehensive management and traceable management of Electron microscopy images for experimental information,sample data and electron microscopy images,real-time transmission of result images,and traceability of electron microscopy image by content-based image retrieval algorithm.
引文
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[2]李心玲,李春杰.基于内容的图像检索技术[J].科技广场,2008(10):59-60.
[3]XU L,HUANG M,LI J.The robust algorithm of 3D medical image retrieval based on perceptual hashing[C].International Conference on Mechatronics International Conference on Mechatronics,2015.
[4]PUVIARASAN N,BHAVANI R,ARUNA P,et al.Content based image retrieval using perceptual hashing[J].Advances in Natural and Applied Sciences,2015,9(6 SE):282-288.
[5]ZHANG S,METAXAS D.Large-Scale medical image analytics:recent methodologies,applications and Future directions[J].Medical Image Analysis,2016,33:98-101.
[6]TIANQIANG P,FANG L.基于深度卷积神经网络和二进制哈希学习的图像检索方法[J].电子与信息学报,2016,38(8):2068-2075.
[7]郭华峰,张浩喆.基于图像检索的高校作品管理系统[J].浙江工贸职业技术学院学报,2016,16(1):45-49.
[8]ZAUNER C.Implementation and benchmarking of perceptual image hash functions[J].Revista Musical Chilna,2011,65(215):71-72.