Wolfram Language & System 10.3 (2015)|Legacy Documentation

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creates a binary image from image by replacing values above the mean of the range-r neighborhood with 1 and others with 0.

replaces values above with 1 and others with 0, where and are the local mean and standard deviation.


  • Local adaptive binarization determines binarization threshold locally and is typically used for binarizing an image with nonuniform illumination or background.
  • LocalAdaptiveBinarize[image,r] is equivalent to LocalAdaptiveBinarize[image,r,{1,0,0}].
  • LocalAdaptiveBinarize works with 3D as well as 2D images. It converts multichannel and color images into grayscale images, then produces an image in which every pixel has value or .
Introduced in 2014