Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images

We aim to improve segmentation through the use of machine learning tools during region agglomeration. We propose an active learning approach for performing hierarchical agglomerative segmentation from superpixels. Our method combines multiple features at all scales of the agglomerative process, work...

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Detalles Bibliográficos
Autores principales: Nunez-Iglesias, Juan, Kennedy, Ryan, Parag, Toufiq, Shi, Jianbo, Chklovskii, Dmitri B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748125/
https://www.ncbi.nlm.nih.gov/pubmed/23977123
http://dx.doi.org/10.1371/journal.pone.0071715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748125/
https://www.ncbi.nlm.nih.gov/pubmed/23977123
http://dx.doi.org/10.1371/journal.pone.0071715

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