| 摘要 |
Image segmentation is realized from the actual image based on image features and a most similar case. The characteristic of the actual image is compared to characteristics of images of a case database. The most similar image in the case database is determined by a similarity quantity, and the parameters correlated with the most similar case are the basis for image segmentation. The actual image is segmented with these parameters, preferably by watershed transformation. The segmented image is evaluated and according to the evaluation in the case database as a case with the parameters of the image segmentation device and the characteristics of the image is saved as a new case in the case database. The model creation is realized by incremental addition of new cases, by a refinement based on generalization of the cases of the case database, by learning similarity, or by at least one combination thereof.
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