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Showing content from http://www.arrayfire.org/docs/group__image__func__histequal.htm below:

ArrayFire: histequal

Histogram equalization of input image. More...

Histogram equalization of input image.

Histogram equalization is a method in image processing of contrast adjustment using the image's histogram.

Data normalization via histogram equalization

C Interface for histogram equalization.

Parameters

[out] out is an array with data that has histogram approximately equal to histogram [in] in is the input array, non-normalized input (!! assumes values [0-255] !!) [in] hist target histogram to approximate in output (based on number of bins)

Returns

AF_SUCCESS if the color transformation is successful, otherwise an appropriate error code is returned.

Note

in must be two dimensional.

C++ Interface for histogram equalization.

float input[] = {1, 2, 1, 1, 3, 6, 7, 8, 3};

int nbins = 10;

size_t nElems = sizeof(input) / sizeof(float);

array hist_in(nElems, input);

array eq_out =

(hist_in, hist_out);

AFAPI array histEqual(const array &in, const array &hist)

C++ Interface for histogram equalization.

AFAPI array histogram(const array &in, const unsigned nbins, const double minval, const double maxval)

C++ Interface for histogram.

Parameters

[in] in is the input array, non-normalized input (!! assumes values [0-255] !!) [in] hist target histogram to approximate in output (based on number of bins)

Returns

data with histogram approximately equal to histogram

Note

in must be two dimensional.

Deprecated:

Use histEqual instead

C++ Interface for histogram equalization.

float input[] = {1, 2, 1, 1, 3, 6, 7, 8, 3};

int nbins = 10;

size_t nElems = sizeof(input) / sizeof(float);

array hist_in(nElems, input);

array eq_out =

(hist_in, hist_out);

Parameters

[in] in is the input array, non-normalized input (!! assumes values [0-255] !!) [in] hist target histogram to approximate in output (based on number of bins)

Returns

data with histogram approximately equal to histogram

Note

in must be two dimensional.

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