`skimage.exposure._adapthist:equalize_adapthist`

source: /dev/scikit-image/src/skimage/exposure/_adapthist.py :23

Signature

   def     equalize_adapthist (    image    ,    kernel_size    =  None   ,    clip_limit    =  0.01   ,    nbins    =  256     )

Summary

Contrast Limited Adaptive Histogram Equalization (CLAHE).

Extended Summary

An algorithm for local contrast enhancement, that uses histograms computed over different tile regions of the image. Local details can therefore be enhanced even in regions that are darker or lighter than most of the image.

Parameters

image : (M[, ...][, C]) ndarray: Input image.
kernel_size : int or array_like, optional: Defines the shape of contextual regions used in the algorithm. If iterable is passed, it must have the same number of elements as image.ndim (without color channel). If integer, it is broadcasted to each image dimension. By default, kernel_size is 1/8 of image height by 1/8 of its width.
clip_limit : float, optional: Clipping limit, normalized between 0 and 1 (higher values give more contrast).
nbins : int, optional: Number of gray bins for histogram ("data range").

Returns

out : (M[, ...][, C]) ndarray: Equalized image with float64 dtype.

Notes

For color images, the following steps are performed:
- The image is converted to HSV color space
- The CLAHE algorithm is run on the V (Value) channel
- The image is converted back to RGB space and returned
For RGBA images, the original alpha channel is removed.

`skimage.exposure._adapthist:equalize_adapthist`

Signature

Summary

Extended Summary

Parameters

Returns

Notes

See also

Aliases

Referenced by

This package