I have some tree canopy images that I would like to process, but not sure how to get started as image processing is a little outside my area of expertise. Any help would be appreciated.
I have tree canopy images with a grid included in the image.
I have converted the image to a five color palette so that sky is easily distinguished from tree cover.
I would like to overlay a series of boxes that line up with the grid (basically a small box under the numbers) and estimate the percentage of pixels within the box that are the "sky" color.
I am not envisioning that this would be fully automated. The workflow would be:
- classify image to five color palette,
- by hand overlay boxes from a separate file so that the boxes match up with grid in image,
- loop through boxes and estimate percentage of underlying colors.
I can code in Python and R, but haven't ever used them to process images.