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Heuristic Analysis Model of Nitrided Layers’ Formation Consisting of the Image Processing and Analysis and Elements of Artificial Intelligence

机译:图像处理与分析组成的渗氮层形成启发式分析模型及人工智能要素

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摘要

The article presents a selected area of research and development concerning the methods of material analysis based on the automatic image recognition of the investigated metallographic sections. The objectives of the analyses of the materials for gas nitriding technology are described. The methods of the preparation of nitrided layers, the steps of the process and the construction and operation of devices for gas nitriding are given. We discuss the possibility of using the methods of digital images processing in the analysis of the materials, as well as their essential task groups: improving the quality of the images, segmentation, morphological transformations and image recognition. The developed analysis model of the nitrided layers formation, covering image processing and analysis techniques, as well as selected methods of artificial intelligence are presented. The model is divided into stages, which are formalized in order to better reproduce their actions. The validation of the presented method is performed. The advantages and limitations of the developed solution, as well as the possibilities of its practical use, are listed.
机译:本文介绍了基于研究的金相切片的自动图像识别的材料分析方法的选定研究和开发领域。描述了用于气体氮化技术的材料分析的目的。给出了氮化层的制备方法,工艺步骤以及气体氮化装置的构造和操作。我们讨论了在材料分析及其基本任务组中使用数字图像处理方法的可能性:提高图像质量,分割,形态转换和图像识别。介绍了已开发的氮化层形成分析模型,涵盖了图像处理和分析技术以及人工智能的一些选定方法。该模型分为多个阶段,将其形式化以更好地重现其行为。对所提出的方法进行验证。列出了已开发解决方案的优点和局限性以及其实际使用的可能性。

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