methods for differentiation between trees and grass
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Im looking for methods to use to help differentiate roadside trees on a motorway from grass (as shown in the picture), which then later i can use this information to analyse the pixel values of the trees. (im not asking for any code, just ideas which i could maybe try and implement)

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Image Analyst
2022-2-10
Why? Why do you care about the nature off the road? Like what kind of plant it is? Just curious.
Anyway you could try a combination of color thresholding and texture segmentation.
Alternatively you could try SegNet deep learning but you'd have to outline/label dozens or hundreds of photos manually.
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Image Analyst
2022-2-11
If it's bolted down I don't think it should change so much that your manually defined regions would change a great deal. So after taking the mean color of all the pixels inside the mask regions you'd have a pretty good idea of how the mean color changed with the seasons.
Image Analyst
2022-2-19
SegNet demos attached. Adapt as needed.
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Benjamin Thompson
2022-2-10
That is a very complicated problem. See the example Semantic Segmentation Using Deep Learning in the Computer Vision Toolbox for a similar problem.
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Benjamin Thompson
2022-2-10
Try it and see. Remember you need a lot of data for this type of solution to work on full motion video. Trees and grass can look a lot different during different weather conditions, time of day, types of trees/grass species, whether the grass has been recently mowed, etc.
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