EBImage.md: Image processing and analysis toolbox for R

画像処理および画像解析

Bioconductor: http://www.bioconductor.org/packages/devel/bioc/html/EBImage.html

> library(EBImage)

バージョン: 4.10.1

関数名	概略
`EBImage`	Package overview
`EBImage-defunct`	EBImage defunct functions
`Image`	Image class
`bwlabel`	Binary segmentation
`channel`	Color and image color mode conversions
`colorLabels`	Color Code Labels
`combine`	Combining images
`computeFeatures`	Compute object features
`dilate`	Perform morphological operations on images
`display`	Image Display
`distmap`	Distance map transform
`drawCircle`	Draw a circle on an image.
`equalize`	Histogram Equalization
`fillHull`	Fill holes in objects
`filter2`	2D Convolution Filter
`floodFill`	Region filling
`gblur`	Low-pass Gaussian filter
`localCurvature`	Local Curvature
`medianFilter`	2D constant time median filtering
`normalize`	Intensity values linear scaling
`ocontour`	Oriented contours
`otsu`	Calculate Otsu's threshold
`paintObjects`	Marks objects in images
`propagate`	Voronoi-based segmentation on image manifolds
`readImage`	Image I/O
`resize`	Spatial linear transformations
`rmObjects`	Object removal and re-indexation
`stackObjects`	Places detected objects into an image stack
`thresh`	Adaptive thresholding
`tile`	Tiling/untiling images
`transpose`	Image Transposition
`watershed`	Watershed transformation and watershed based object detection

display

画像の表示

> readImage(system.file("images", "sample-color.png", package = "EBImage")) %>% display()

readImage

画像ファイルの読み込みと書き込み

引数

files
type... jpeg, png およびtiffに対応
all
names
x
bits.per.sample
compression
quality
...

> img <- readImage(files = system.file("images", "sample-color.png", package = "EBImage"))
> str(img)
> print(img)

Image 
  colorMode    : Color 
  storage.mode : double 
  dim          : 768 512 3 
  frames.total : 3 
  frames.render: 1 

imageData(object)[1:5,1:6,1]
          [,1]      [,2]      [,3]      [,4]      [,5]      [,6]
[1,] 0.4549020 0.4784314 0.4941176 0.5137255 0.5294118 0.5529412
[2,] 0.4588235 0.4784314 0.4941176 0.4980392 0.5215686 0.5490196
[3,] 0.4705882 0.4823529 0.4980392 0.5137255 0.5294118 0.5372549
[4,] 0.4666667 0.4745098 0.5058824 0.5137255 0.5450980 0.5647059
[5,] 0.4705882 0.4705882 0.4901961 0.5137255 0.5372549 0.5647059

表示にはdisplay()を使う

参考