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Title:
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Measures and meta-measures for the supervised evaluation of image segmentation
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Author:
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Pont Tuset, Jordi; Marqués Acosta, Fernando
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
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Abstract:
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This paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: the precision-recall for objects and parts. To compare the goodness of these measures, it defines three quantitative meta-measures involving six state of the art segmentation methods. The meta-measures consist in assuming some plausible hypotheses about the results and assessing how well each measure reflects these hypotheses. As a conclusion, this paper proposes the precision-recall curves for boundaries and for objects-and-parts as the tool of choice for the supervised evaluation of image segmentation. We make the datasets and code of all the measures publicly available. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Image segmentation
-Image processing -- Digital techniques
-Benchmark testing
-Context
-Current measurement
-Databases
-Image segmentation
-Object detection
-Partitioning algorithms
-Imatges -- Processament -- Tècniques digitals
-Vídeo digital |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Published by:
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IEEE Computer Society Publications
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