Evaluation of morphological hierarchies for supervised segmentation
International audience We propose a quantitative evaluation of morphological hierarchies (quasi-flat zones, constraint connectivity, watersheds, observation scale) in a novel framework based on the marked segmentation problem. We created a set of automatically generated markers for the one object im...
Main Authors: | , , , |
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Other Authors: | , , , , , , , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2015
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Subjects: | |
Online Access: | https://hal.science/hal-01142072 https://hal.science/hal-01142072/document https://hal.science/hal-01142072/file/Perret%20-%20ISMM%202015%20-%20Evaluation%20Hierarchies.pdf https://doi.org/10.1007/978-3-319-18720-4_4 |
Summary: | International audience We propose a quantitative evaluation of morphological hierarchies (quasi-flat zones, constraint connectivity, watersheds, observation scale) in a novel framework based on the marked segmentation problem. We created a set of automatically generated markers for the one object image datasets of Grabcut and Weizmann. In order to evaluate the hierarchies , we applied the same segmentation strategy by combining several parameters and markers. Our results, which shows important differences among the considered hierarchies, give clues to understand the behaviour of each method in order to choose the best one for a given application. The code and the marker datasets are available online. |
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