Selection of Segment Similarity Measures for Hierarchical Picture Segmentation
نویسنده
چکیده
The problem of defining appropriate segment similarity measures for picture segmentation is examined. In agglomerative hierarchical segmentation, two segments are compared and merged if found similar. The proposed Hierarchical Step-Wise Optimization (HSWO) algorithm finds and then merges the two most similar segments, on a step-by-step basis. By considering picture segmentation as a piece-wise picture approximation problem, the similarity measure (or the step-wise criterion)
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تاریخ انتشار 2015