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Extending Ripley’s K-Function to Quantify Aggregation in 2-D Grayscale Images
In this work, we describe the extension of Ripley’s K-function to allow for overlapping events at very high event densities. We show that problematic edge effects introduce significant bias to the function at very high densities and small radii, and propose a simple correction method that successful...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4670231/ https://ncbi.nlm.nih.gov/pubmed/26636680 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0144404 |
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