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EBImage (version 4.14.2)

Image processing and analysis toolbox for R

Description

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.

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Version

Version

4.14.2

License

LGPL

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Maintainer

Last Published

February 15th, 2017

Functions in EBImage (4.14.2)

paintObjects

Mark objects in images
fillHull

Fill holes in objects
normalize

Intensity values linear scaling
resize

Spatial linear transformations
tile

Tiling/untiling images
distmap

Distance map transform
channel

Color and image color mode conversions
bwlabel

Binary segmentation
colormap

Map a Greyscale Image to Color
medianFilter

2D constant time median filtering
combine

Combining images
thresh

Adaptive thresholding
watershed

Watershed transformation and watershed based object detection
localCurvature

Local Curvature
display

Image Display
transpose

Image Transposition
equalize

Histogram Equalization
Image

Image class
gblur

Low-pass Gaussian filter
EBImage-deprecated

Deprecated functions in package ‘EBImage’
drawCircle

Draw a circle on an image.
colorLabels

Color Code Labels
rmObjects

Object removal and re-indexation
otsu

Calculate Otsu's threshold
EBImage-defunct

Defunct functions in package ‘EBImage’
io

Image I/O
morphology

Perform morphological operations on images
ocontour

Oriented contours
computeFeatures

Compute object features
propagate

Voronoi-based segmentation on image manifolds
floodFill

Region filling
EBImage

Package overview
filter2

2D Convolution Filter
stackObjects

Places detected objects into an image stack