|
Título:
|
Measures and meta-measures for the supervised evaluation of image segmentation
|
|
Autor/a:
|
Pont Tuset, Jordi; Marqués Acosta, Fernando
|
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
|
Abstract:
|
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. |
|
Abstract:
|
Peer Reviewed |
|
Materia(s):
|
-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 |
|
Derechos:
|
|
|
Tipo de documento:
|
Artículo - Versión publicada
Objeto de conferencia |
|
Editor:
|
IEEE Computer Society Publications
|
|
Compartir:
|
|
