Ebimage - an R package for image processing with applications to cellular phenotypes. EBImage provides general purpose functionality for reading, writing, processing and analysis of images. Furthermore, in the context of microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and use of existing tools in the R environment for signal processing, statistical modeling, machine learning and data visualization. Availability: EBImage is free and open source, released under the LGPL license and available from the Bioconductor project (http://www.bioconductor.org/packages/release/bioc/html/EBImage.html).

References in zbMATH (referenced in 12 articles )

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  7. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  8. John Muschelli, Elizabeth Sweeney, Martin Lindquist, Ciprian Crainiceanu: fslr: Connecting the FSL Software with R (2015) not zbMATH
  9. Oelker, Margret-Ruth; Pößnecker, Wolfgang; Tutz, Gerhard: Selection and fusion of categorical predictors with (L_0)-type penalties (2015)
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  12. Pau, Grégoire; Fuchs, Florian; Sklyar, Oleg; Boutros, Michael; Huber, Wolfgang: Ebimage - an R package for image processing with applications to cellular phenotypes (2010) ioport