vieyahn2017
commented
1 year ago Metallographic
https://github.com/repositoryfiles/Metallography/ 金属組織画像を読み込み、Austenite、Ferrite、Ferrite_Perlite、Martensite、Perliteのどれかを推論するプログラムです。学習はTeachableMachineで行っています。 读取金属结构图像并推断出Austenite、Ferrite、Ferrite_Perlite、Martensite或Perlite。学习是在TeachableMachine上进行的。
https://github.com/Cole572/Metallographic-Grain-Size-Analysis Metallographic-Grain-Size-Analysis Jupyter notebook compatible Python code used to measure grain size in metallurgical micrographs. The repository contains a metallurgical micrograph of example grains which are imported into the Python code. The methodology for image analysis to measure the grains is: (1) remove noise and improve grain boundary contrast, (2) threshold out the grain boundaries, (3) perform watershed segmentation to isolate each grain as an object, and (4) count the grains by their longest diameter and plot a histogram. Much of the issue with properly using this method occurs in the thresholding and watershed stage. If there is sufficient noise and a lack of grain boundary contrast, the watershed method will have difficulty parsing between each grain. Also, grains can be split into smaller sections during the watershed, so the correct parameters must be chosen. I've uploaded this file so that others can help me improve it and use it as well. 金相-晶粒-尺寸-分析 Jupyter笔记本兼容的Python代码，用于测量冶金显微照片中的晶粒大小。 存储库包含导入Python代码中的示例颗粒的冶金显微照片。图像分析测量颗粒的方法是：（1）去除噪声并提高颗粒边界对比度，（2）阈值去除颗粒边界，（3）执行分水岭分割，将每个颗粒隔离为对象，（4）按颗粒的最长直径计数并绘制直方图。 正确使用这种方法的大部分问题发生在阈值和分水岭阶段。如果有足够的噪音和缺乏晶界对比度，分水岭方法将难以在每个晶界之间解析。此外，在分水岭期间，谷物可以被分成较小的部分，因此必须选择正确的参数。我已经上传了这个文件，这样其他人就可以帮助我改进它，并使用它。
grain size
https://github.com/DigitalGrainSize/pyDGS Wavelet-based digital grain size analysis. pydgs is an open-source project dedicated to provide a Python framework to compute estimates of grain size distribution using the continuous wavelet transform method of Buscombe (2013) from an image of sediment where grains are clearly resolved. It doesn't require calibration, but does require scaling. It works best for well-sorted sands and gravels. It may not work so well for bimodal mixtures or subpixel grains - you may or might not have better luck with my other program SediNet pydgs是一个开源项目，致力于提供一个Python框架，使用Buscom（2013年）的连续小波变换方法从颗粒清晰解析的沉积物图像中计算粒度分布的估计值。它不需要校准，但需要缩放。它最适合分类良好的沙子和砾石。它可能不适用于双峰混合物或亚像素颗粒-你可能会有更好的运气，也可能不会有更好的运气与我的另一个程序SediNet
https://github.com/marcoalopez/GrainSizeTools GrainSizeTools is a free, open-source, cross-platform script written in Python that provides tools for (1) describing and visualizing grain size populations, (2) estimating differential stress for different mineral phases via paleopizometers and (3) apply stereology methods to approximate the actual distribution (3D) of grain size from sections. The script does not require previous experience with the Python programming language (see the documentation below and FAQ). For users with coding skills, the script is organized in a modular (functional) way facilitating the reuse and code extension. 谷物尺寸工具是一个免费的、开源的、跨平台的脚本，用Python编写，它提供了工具，用于（1）描述和可视化粒度种群，（2）通过古光度计估计不同矿物相的差异应力，（3）应用体视学方法近似剖面中晶粒尺寸的实际分布(3D)。该脚本不需要以前使用Python编程语言的经验（请参见下面的文档和常见问题解答）。对于具有编码技能的用户，脚本以模块化（功能）的方式组织，便于重用和代码扩展。
https://github.com/kleinsimon/LinearIntersect Linear Intersection tool for measuring Grain-Size 用于测量粒度的线性交点工具 德语的 C#