Seeking Guidance on Proper Execution of calcGrains for Partially Imperfect EBSD Data #2238
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In this case, you could crop the dataset to the lower region before running calcGrains() using selectInteractive() |
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You could take a look at the section "Adapting the Alpha Parameter" here: Try: |
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So, my current idea is to identify and remove invalid grains by calculating the ratio of the area occupied by valid pixels with each grain to the total area of grain. Specifically, if the radio is below a certain threshold, the should be removed. I am not sure if this idea is reasonable, or whether MTEX supports such as operates. Specifically, I want to obtain the total area of each grain and the total area occupied by pixels with the grains, and then remove the identified grains if the ratio is below a certain threshold. Thanks |
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Dear METX GitHub Community,
I hope this message finds you well. I am currently working with an EBSD data file that is not entirely perfect. Specifically, the IPF map has areas with insufficient resolution in the upper part, making it unsuitable for using calcGrains. And the lower part of the map has sufficient data and is suitable for grain identification using calcGrains.
Unfortunately, when I execute calcGrains on the entire dataset, the visualization results are unsatisfactory, as shown in the attached image.

My goal is to apply calcGrains only to the regions with enough pixel density (the lower part) and avoid applying it to the sparse areas (the upper part). Could you please provide guidance on how to achieve this? Specifically, I would like to know:
calcGrains
only to the regions with sufficient data points.Your expertise and advice would be greatly appreciated. Thank you in advance for your help!
Best regards,
Wei
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