Characterization of any Material / Element requires SEM (Scanning Electron Microscopy) analysis. Images captured from SEM are further considered for analysing the Morphology, structure of the material. Due to non-conduction or any technical issues, the image captured may not be accurate for analysis. If the image is accurate also morphological operations can’t be performed. In this paper, SEM images are processed to study the histogram analysis for equalizing the image, morphological operations via. Erosion, Dilation etc using Python programming.

中文翻译：

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使用 Python 对 SEM 图像进行形态学操作和直方图分析

任何材料/元素的表征都需要 SEM（扫描电子显微镜）分析。进一步考虑从 SEM 捕获的图像以分析材料的形态和结构。由于非传导或任何技术问题，捕获的图像可能无法准确进行分析。如果图像准确，也无法执行形态学操作。本文对扫描电镜图像进行处理，研究直方图分析对图像进行均衡化处理，通过形态学操作。使用 Python 编程的侵蚀、膨胀等。