Machine Learning and Classification for QA
2 views (last 30 days)
Show older comments
Hi everyone.
I just started looking into machine learning and classification. For a small project I have different grayscale images showing different shapes that are formed by a collimator. I know want to evaluate how accurate the collimator forms the shapes (allowed tolerance is +-2mm). My idea was to train my model what is in the spects and what is not.
As mentioned, I have just started reading about machine learning, and I don't know where to start. How should my classifiers or training data look like, and which machine learning approach should I choose?
Thanks in advance for any advice!
Kind regards,
Mike
0 Comments
Answers (2)
Image Analyst
on 26 Jun 2018
Have you taken the online Deep Learning on-ramp the Mathworks web site offers? That's where I'd start.
1 Comment
MikeSv
on 27 Jun 2018
Hi and thanks for the great advice.
I wasn't aware of this tutorial! Seems like a good starting point. :-)
Regards,
Michael
vijayabharathi K
on 20 Jun 2020
TASKUse the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.
1 Comment
Image Analyst
on 20 Jun 2020
Edited: Image Analyst
on 20 Jun 2020
How is this an answer to Mike's two year old question? I think you posted this as an Answer when it should have been posted as a new question after you've read the guidelines on the asking form page.
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!