Computer vision based recognition of liquid surface and liquid level in transparent glassware vessels (python)

Get input image containing transperent vessel with liquid (Image) and a binary mask of the vessel area in the image (VesselMask) Return liquid surfaces/levels marked on the image

Inputs:

Image: input image VesselMask: binary mask with the glassware vessel in in the image

Output:

Mask of the liquid surface curves in the image. The liquid surface curves marked on the image.

For more accurate method of solving the same problem with neural nets see this link

For more details see: Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications

Tracing the transparent vessel in the image and creating VesselMask can be done using neural network in here