ImageBinarization

A Julia package containing a number of algorithms for analyzing images and automatically binarizing them into background and foreground.

A full list of algorithms can be found in the documentation.

The general usage pattern is:

imgb = binarize(algorithm::ThresholdAlgorithm, img)

Examples of ImageBinarization in action:

Image of cells:

Original image
Intermodes	Minimum Error	Minimum
Moments	Otsu	Polysegment
Rosin	Sauvola	Niblack
Adaptive	Yen	Balanced

Image of moon surface: (Unimodal)

Original image
Intermodes	Minimum Error	Minimum
Moments	Otsu	Polysegment
Rosin	Sauvola	Niblack
Adaptive	Yen	Balanced

Image of text:

Original image
Intermodes	Minimum Error	Minimum
Moments	Otsu	Polysegment
Rosin	Sauvola	Niblack
Adaptive	Yen	Balanced

Example

Suppose one wants to binarize an image. This can be achieved by simply choosing an appropriate algorithm and calling binarize in the image. The background and foreground will be automatically binarized.

using ImageBinarization
using TestImages # For the cameraman image.

#load cameraman image
img = testimage("cameraman")

#binarize the image
imgb = binarize(Otsu(), img)