Comparative study of image segmentation algorithms processing quality onmetric base

The processing quality of four well-known digital image segmentation algorithms is under study. The set of artificial images under supervised distortions is used with a priori given reference ground truth images. Algorithms processing results are compared with reference images by metrics with different features. The use of different metrics for image segmentation algorithms processing quality estimation and comparative study of the results helps to clear more exactly the features of the investigated algorithms.