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1
Intro
2
microscope image
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notes
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steps
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load image
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define pixels
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denoising
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Histogram
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Thresholding
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Running the code
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Defining kernel
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Converting to binary image
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Labels
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Properties in clusters
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Properties list
Description:
Learn how to perform grain size analysis using Python and microscope images of metal alloys. This 41-minute video tutorial guides you through the image processing steps required to automate grain analysis for quality control and research purposes. Explore techniques for denoising, thresholding, and labeling microscope images to extract grain properties. Discover how to generate a comprehensive grain analysis summary and export the results to a CSV file. Follow along with provided code examples and gain practical skills in using Python for microscopy applications. Access the complete source code on GitHub to further enhance your understanding and apply these techniques to your own projects.

Grain Size Analysis in Python Using a Microscope Image

DigitalSreeni
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