Automated segmentation algorithm for electron microscope images with strong grey level fluctuations
Xin Zheng, Max Kolb · Microscopy Microanalysis Microstructures · 1994
An automated algorithm for image segmentation based on nucleation and growth of the background is presented.The graytone parameters of the algorithm are chosen by the algorithm itself.Only a single graytone cutoff remains to be chosen by hand.This cutoff is more general than the graytone parameters themselves, as it can be fixed for a whole class of images.Different ways to implement the automated choice of the graytone parameters are investigated.The role of the geometrical parameters of the automated algorithm is also discussed.