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A Novel Metric on Partitions for Image Segmentation

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4 Author(s)
Vladimir Mashtalir ; Kharkov National University of Radio Electronics, Ukraine ; Elena Mikhnova ; Vladislav Shlyakhov ; Elena Yegorova

The explosion of image content is closely connected with segmentations efficiency. However, there is no agreement as to what a good segmentation is due to hard data and applications dependence. To reduce the gap between low-level features and high-level semantic, collections of image partitions produced by different segmentation algorithms are often considered. We propose, theoretically ground and experimentally explore a new metric on segmented images or on arbitrary partitions of finite sets in general.

Published in:

2006 IEEE International Conference on Video and Signal Based Surveillance

Date of Conference:

Nov. 2006