An Interactive Level Set Approach to Semi-automatic Detection of Features in Food Micrographs
In this paper, we propose a fast approximate level set algorithm for the detection of microstructural features in food micrographs. Our approximation method is in the spirit of. Hence, we chose a user-assisted approach. Approximating the exact evolution equation allows for interactive computations.
