基于SEM的XMT图像矿石颗粒描述 图像分析

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摘要翻译：
本文对矿石颗粒系统的三维图像数据进行了研究。将X射线显微层析成像(XMT)与扫描电子显微镜(SEM)相结合，可以从某些平面剖面上获得关于矿物成分的额外信息。对于颗粒系统的层析图像分析，单个颗粒的提取是必不可少的。这是通过基于标记的分水岭算法和利用神经网络减少过分割的后处理步骤来执行的。通过对不同成像过程和分割算法得到的二维扫描电镜图像与三维粒子分割的经验比较，验证了结果的正确性。最后，给出了一个体视学应用，在该应用中，平面扫描电镜图像嵌入到层析三维图像中。这允许在整个断层图像中估计局部X射线衰减系数，这是材料特定的量。
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英文标题：
《Description of ore particles from XMT images, supported by SEM-based
  image analysis》
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作者：
Orkun Furat, Thomas Lei{\ss}ner, Ralf Ditscherlein, Ond\v{r}ej
  \v{S}ediv\'y, Matthias Weber, Kai Bachmann, Jens Gutzmer, Urs Peuker, Volker
  Schmidt
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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一级分类：Physics        物理学
二级分类：Materials Science        材料科学
分类描述：Techniques, synthesis, characterization, structure.  Structural phase transitions, mechanical properties, phonons. Defects, adsorbates, interfaces
技术，合成，表征，结构。结构相变，力学性质，声子。缺陷，吸附质，界面
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英文摘要：
  In this paper, 3D image data of ore particle systems is investigated. By combining X-ray micro tomography (XMT) with scanning electron microscope (SEM) based image analysis additional information about the mineralogical composition from certain planar sections can be gained. For the analysis of tomographic images of particle systems the extraction of single particles is essential. This is performed with a marker-based watershed algorithm and a post-processing step utilizing a neural network to reduce oversegmentation. The results are validated by comparing the 3D particle-wise segmentation empirically with 2D SEM images which have been obtained with a different imaging process and segmentation algorithm. Finally, a stereological application is shown, in which planar SEM images are embedded into the tomographic 3D image. This allows the estimation of local X-ray attenuation coefficients, which are material-specific quantities, in the entire tomographic image.
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PDF链接：
https://arxiv.org/pdf/1806.03239

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关键词：SEM Segmentation Mathematical Construction Presentation 电子显微镜 SEM XMT 衰减系数 particles