  The technology of image segmentation is widely used in medical image
processing, face recognition pedestrian detection, etc. The current image
segmentation techniques include region-based segmentation, edge detection
segmentation, segmentation based on clustering, segmentation based on
weakly-supervised learning in CNN, etc. This paper analyzes and summarizes
these algorithms of image segmentation, and compares the advantages and
disadvantages of different algorithms. Finally, we make a prediction of the
development trend of image segmentation with the combination of these
algorithms.
