Title: | Over- and under-segmentation evaluation based on the segmentation covering measure |
Authors: | Sigut, Jose Fumero, Francisco Nuñez, Omar |
Citation: | WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 83-89. |
Issue Date: | 2015 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2015/CSRN-2502.pdf http://hdl.handle.net/11025/29669 |
ISBN: | 978-80-86943-66-4 |
ISSN: | 2464-4617 |
Keywords: | segmentace obrazu;hodnocení;nadměrná segmentace;nedostatečná segmentace |
Keywords in different language: | image segmentation;evaluation;over-segmentation;under-segmentation |
Abstract: | Very few measures intended for evaluating the quality of image segmentations account separately for over- and under-segmentation. This distinction is highly desirable in practice because in many applications undersegmentation is considered as a much serious issue than over-segmentation. In this paper, a new approach to this problem is presented as a decomposition of the Segmentation Covering measure into two contributions, one due to over-segmentation and the other one to under-segmentation. Our proposal has been tested on the output of state-of-the-art segmentation algorithms using the Berkeley image database. The results obtained are comparable to those provided by similar evaluation methods allowing a clear separation between over- and undersegmentation effects. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2015: Short Papers Proceedings |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29669
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