Something that increases the brightness of the shadowed pixels to match the mean brightness of the non-shadowed pixels might be a good starting idea (but I’m sure better techniques exist).įor the very dark shadows I plan on creating training data for a fourth class so I can detect these and remove these pixels from analysis (Assuming that very low brightness will be the main feature used here). I basically want to feed the hundreds of images through some code so that the final result is an RGB image with the shadowed pixels appearing to not be in shadow anymore. The main concern is moderate levels of shadow. The model copes well when light shadow is present so I’m not worried about that. I’m doing a model of ground cover segmentation with three classes. When launched as a plug-in, PixPlant will initially ask which map type should the incoming. After editing, close PixPlant to return the edited map to Photoshop. The PixPlant window will appear and you'll need to select which map type should the incoming image be edited as. Below are some examples (screencaptures of the actual images).Īfter a second look - it appears that it would be very beneficial if the tiny shadows (e.g created from small leaves, branches, small rocks) were also enhanced - I assume the solution would pick these up as well. To launch PixPlant from Photoshop, select Filter > PixPlant > PixPlant 5. Shadows mainly arise from rocks, tripod, and plants. How can I pre-process them to remove the shadow effects (enhance shadowed pixels).

I have high resolution ground cover RGB images with varying levels of shadow present.

Pixplant remove shadows