Machine Vision
Pollen grains classification and identification
Hi Guys,
i'm working on developping a program able to identify pollen grains in an image ( attached below ) and to realize that i'm using NI Vision Assistant and particle classification.
in particle classification i took all the pollen grains existing in the image and i made a classifier file and the system now able to know every pollen by drawing a simple ROI around the pollen grain
but the problem is that i don't know how to make the system count the number of samples that belongs to the same class and show them detected.
please help and thank you
I do not know if you are getting another difficulty but first, you should draw an ROI including all image and select the Sample to Classify option as All in Region instead of Largest in Region. With this way you should be able to identify the objects, and then you can set limits for classification and identification scores for each class to properly classify the objects.
Below image shows the classification that I made on VBAI for simplicity, I have just trained the Eucalyptus but you can train the other one too.
