hello everybody !
I tried to use ImageJ but I haven’t any background in image analysis…
So, of course, I haven’t got any satisfying result .
I’ve got this kind of picture (see below). It’s a drone view of a field. We can see crop lines with healthy and ill plants (respectively white ones and black ones).
How can I count easily these two types of plants with ImageJ?
Thanks for your advices!!
hello everybody !
There are different methds available to identify healthy and ill plants. You could try to threshold the image and then count the thresholded type of plants. You could also apply a kind of template matching:
However for your ease I would tend to statistically anaylze and seperate the plants, e.g. with the Trainable Weka Segmentation:
You will also find several tutorials on YouTube!
Another way to statistically classify the data is to use R with ImageJ within Bio7:
Please also consider to choose the right classifier if necessary for a good description of the features (healthy, ill)
On the Internet also look for tree crown identification for some additional techniques.
Thanks for your reply.
I think TWS fit well for my job. I tried to install it but it didn’t work.
I copy the file "Trainable_Segmentation-3.1.1-20160630.154138-15.jar " in the plugin folder and restart ImageJ. When I click on the Weka button, this message appear:
well… I tried in Bio7 with the same process, but the error pop-up is the same too
I don’t know if the Trainable Segmentation plugin is available as a regular ImageJ1 plugin. @iarganda is the plugin available for ImageJ1, too?
However it is already installed if you download FIJI. So this might be easier:
Indeed, TWS has many dependencies, so I totally recommend using Fiji to avoid the trouble of getting everything installed in ImageJ.
I tried with Fiji, it seems to be ok.
so now, let’s go with settings…