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abab67b5
编写于
5月 21, 2016
作者:
S
Suleyman TURKMEN
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差异文件
Update imgproc.hpp
update documentation of calcBackProject() calcHist() compareHist()
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modules/imgproc/include/opencv2/imgproc.hpp
modules/imgproc/include/opencv2/imgproc.hpp
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modules/imgproc/include/opencv2/imgproc.hpp
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@@ -2941,7 +2941,7 @@ An example for creating histograms of an image
/** @brief Calculates a histogram of a set of arrays.
The function
s calcHist calculate
the histogram of one or more arrays. The elements of a tuple used
The function
cv::calcHist calculates
the histogram of one or more arrays. The elements of a tuple used
to increment a histogram bin are taken from the corresponding input arrays at the same location. The
sample below shows how to compute a 2D Hue-Saturation histogram for a color image. :
@code
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@@ -3002,7 +3002,7 @@ sample below shows how to compute a 2D Hue-Saturation histogram for a color imag
}
@endcode
@param images Source arrays. They all should have the same depth, CV_8U or CV_32F , and the same
@param images Source arrays. They all should have the same depth, CV_8U
, CV_16U
or CV_32F , and the same
size. Each of them can have an arbitrary number of channels.
@param nimages Number of source images.
@param channels List of the dims channels used to compute the histogram. The first array channels
...
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@@ -3053,7 +3053,7 @@ CV_EXPORTS_W void calcHist( InputArrayOfArrays images,
/** @brief Calculates the back projection of a histogram.
The function
s calcBackProject calculate
the back project of the histogram. That is, similarly to
The function
cv::calcBackProject calculates
the back project of the histogram. That is, similarly to
cv::calcHist , at each location (x, y) the function collects the values from the selected channels
in the input images and finds the corresponding histogram bin. But instead of incrementing it, the
function reads the bin value, scales it by scale , and stores in backProject(x,y) . In terms of
...
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@@ -3074,7 +3074,7 @@ component.
This is an approximate algorithm of the CamShift color object tracker.
@param images Source arrays. They all should have the same depth, CV_8U or CV_32F , and the same
@param images Source arrays. They all should have the same depth, CV_8U
, CV_16U
or CV_32F , and the same
size. Each of them can have an arbitrary number of channels.
@param nimages Number of source images.
@param channels The list of channels used to compute the back projection. The number of channels
...
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@@ -3084,7 +3084,7 @@ images[0].channels() + images[1].channels()-1, and so on.
@param hist Input histogram that can be dense or sparse.
@param backProject Destination back projection array that is a single-channel array of the same
size and depth as images[0] .
@param ranges Array of arrays of the histogram bin boundaries in each dimension. See calcHist .
@param ranges Array of arrays of the histogram bin boundaries in each dimension. See c
v::c
alcHist .
@param scale Optional scale factor for the output back projection.
@param uniform Flag indicating whether the histogram is uniform or not (see above).
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@@ -3109,7 +3109,7 @@ CV_EXPORTS_W void calcBackProject( InputArrayOfArrays images, const std::vector<
/** @brief Compares two histograms.
The function c
ompare
two dense or two sparse histograms using the specified method.
The function c
v::compareHist compares
two dense or two sparse histograms using the specified method.
The function returns \f$d(H_1, H_2)\f$ .
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