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EBImage

Image processing and analysis toolbox for R

EBImage provides general purpose functionality for image processing and analysis. In the context of (high-throughput) 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 facilitates the use of other tools in the R environment for signal processing, statistical modeling, machine learning and visualization with image data.

Functions (36)

Package overview

EBImage-defunct

Defunct functions in package ‘EBImage’

Image class

Combine Image Arrays

Binary segmentation

Color and image color mode conversions

Contrast Limited Adaptive Histogram Equalization

colorLabels

Color Code Labels

Map a Greyscale Image to Color

Combine images

computeFeatures

Compute object features

Image Display

display-shiny

Shiny Bindings for display

Distance map transform

Draw a circle on an image.

Histogram Equalization

Fill holes in objects

2D Convolution Filter

Region filling

Low-pass Gaussian filter

Image I/O

localCurvature

Local Curvature

medianFilter

2D constant time median filtering

Perform morphological operations on images

Intensity values linear scaling

Oriented contours

otsu

Calculate Otsu's threshold

paintObjects

Mark objects in images

Voronoi-based segmentation on image manifolds

Object removal and re-indexation

Spatial linear transformations

stackObjects

Places detected objects into an image stack

Adaptive thresholding

tile

Tiling/untiling images

Image Transposition

Watershed transformation and watershed based object detection

EBImage

Image processing and analysis toolbox for R

v4.32.0

LGPL

Authors

Andrzej Oleś, Gregoire Pau, Mike Smith, Oleg Sklyar, Wolfgang Huber, with contributions from Joseph Barry and Philip A. Marais

Initial release

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