Testing an image processing algorithm on noisy data
1 view (last 30 days)
Show older comments
I wrote an image processing program that train some classifier to recognize some object in the image. now I want to test the response of my algorithm to noise. I wish the algorithm have some robustness to noise.
My question is that, should I train the classifier using noisy version of train dataset, or train the classifier using original version of dataset, and see its performance on noisy data.
Thank you.
0 Comments
Answers (0)
See Also
Categories
Find more on Statistics and Machine Learning Toolbox 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!