An Improved Continuous Max-Flow Image Segmentation Model
In the image segmentation model,fast algorithms based on the continuous maxi-mum flow model have obvious advantages,However,the segmentation results are easily affected by parameters and step-size,and over-segmentation will produce a lot of step artifacts,and the texture features are not obvious.We propose a new maximum flow segmentation model that preprocesses the image first,and gives a new parameter selection method.Experimental results show that our new algorithm has more advantages in speed and segmentation effect.
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