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Segmentation Based on Level Combination of Irregular Pyramids

By Annette Morales-gonzález, Edel Garcia-reyes and Luis Enrique Sucar


In image retrieval applications, if we work with hierarchies of image partitions, it is often necessary to select the proper level of segmentation to be used or whether it should combine more than one level in order to annotate the objects. This decision may be even harder if we do not have a previous knowledge regarding the image. The contributions of this work are a new measure to evaluate the segmentation based on persistence of relevant edges and an algorithm to scan the irregular pyramids combining the better segments in order to build a new graceful image in a perceptive manner

Topics: irregular pyramids, image segmentation, hierarchical segmentation
Year: 2014
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