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应用ImageJ程序包进行材料显微组织图像处理、分析和可视化的一种框架(英文) 被引量:8

A framework for image processing, analysis and visualization of materials microstructures using ImageJ package
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摘要 显微组织图像(例如胞、粒子与晶粒等)的数字图像处理、分割和分析,对于获取显微组织特征的三维信息非常重要。已有数种商用和共享程序包可以用于图像的处理和分析。"ImageJ"即其中之一,其长期广泛采用及其可扩展插件形式已使其成为许多不同应用领域科学家选用的工具。它包含了处理、分割、重建和可视化材料显微结构所需要的几乎所有基本的和最新的功能以及图像分析工具(例如‘Particle Analyzer’,‘3D object counter’,‘3D Roi Manager’),以用于成组粒子的复杂统计处理。虽然它在生物医学研究领域很受欢迎,被认为是一种有用的和有效的开放源码的图像处理与分析软件,但是在材料科学领域对其所知甚少。面向材料学界,本文尤其是那些没有图像处理和分析经验的材料科学与工程专业人员,在简要介绍ImageJ的基础上,提出了将其应用于在三维空间中处理、分割和分析显微组织结构连续切片图像的一个通用框架。 Digital image processing,segmentation and analysis of microstructural images are crucial to obtain three dimensional(3D) information about the features present in microstructure such as particles or grains.There are several commercial as well as public domain packages availible for processing and analysis of images;"ImageJ"is one of them whose wide adoption,long existence and extensible plugin style has made it a tool of choice for scientists from a broad range of disciplines.It contains almost all of the basic and latest functionalities required to process,segment,reconstruct and visualize materials microstructural images along with analysis tools(for instance ‘Particle Analyzer’,‘3D object counter’,‘3D Roi Manager’and so on) for sophisticated statistical processing of groups of particles.Although it is very popular and is considered to be an useful and efficient open source image processing and analysis software in biomedical research fields,a little is known about it in materials science sector.In this article we introduce ‘ImageJ’briefly to materials science community(particularly those professionals who have no experience of image processing and analysis) and propose a general frame work to process,segment,analyze and visualize microstructural serial section images in 3D by using it.
出处 《中国体视学与图像分析》 2012年第4期301-312,共12页 Chinese Journal of Stereology and Image Analysis
基金 国家自然科学基金(51071019,50901008,50871017)~~
关键词 材料体视学 显微组织 系列截面图像 IMAGEJ 图像分割 图像分析 material stereology microstructure serial section images imageJ image segmentation image analysis
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