Histogram Equalization
Equalize the image histogram to a specified range and number of levels.
equalize(x, range = c(0, 1), levels = 256)
x |
an |
range |
numeric vector of length 2, the output range of the equalized histogram |
levels |
number of grayscale levels (Grayscale images) or intensity levels of each channel (Color images) |
Histogram equalization is an adaptive image contrast adjustment method. It flattens the image histogram by performing linearization of the cumulative distribution function of pixel intensities.
Individual channels of Color images and frames of image stacks are equalized separately.
An Image object or an array, containing the transformed version
of x.
Andrzej Oles, andrzej.oles@embl.de, 2014
x = readImage(system.file('images', 'cells.tif', package='EBImage'))
hist(x)
y = equalize(x)
hist(y)
display(y, title='Equalized Grayscale Image')
x = readImage(system.file('images', 'sample-color.png', package='EBImage'))
hist(x)
y = equalize(x)
hist(y)
display(y, title='Equalized Grayscale Image')Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.