Merge pull request #22370 from catree:fix_22242_filter2d_float_double_doc

pull/22378/head^2
Alexander Alekhin 3 years ago
commit cc8add9f66
  1. 8
      modules/imgproc/include/opencv2/imgproc.hpp

@ -78,11 +78,15 @@ Input depth (src.depth()) | Output depth (ddepth)
--------------------------|---------------------- --------------------------|----------------------
CV_8U | -1/CV_16S/CV_32F/CV_64F CV_8U | -1/CV_16S/CV_32F/CV_64F
CV_16U/CV_16S | -1/CV_32F/CV_64F CV_16U/CV_16S | -1/CV_32F/CV_64F
CV_32F | -1/CV_32F/CV_64F CV_32F | -1/CV_32F
CV_64F | -1/CV_64F CV_64F | -1/CV_64F
@note when ddepth=-1, the output image will have the same depth as the source. @note when ddepth=-1, the output image will have the same depth as the source.
@note if you need double floating-point accuracy and using single floating-point input data
(CV_32F input and CV_64F output depth combination), you can use @ref Mat.convertTo to convert
the input data to the desired precision.
@defgroup imgproc_transform Geometric Image Transformations @defgroup imgproc_transform Geometric Image Transformations
The functions in this section perform various geometrical transformations of 2D images. They do not The functions in this section perform various geometrical transformations of 2D images. They do not
@ -1753,7 +1757,7 @@ with the following \f$3 \times 3\f$ aperture:
@param src Source image. @param src Source image.
@param dst Destination image of the same size and the same number of channels as src . @param dst Destination image of the same size and the same number of channels as src .
@param ddepth Desired depth of the destination image. @param ddepth Desired depth of the destination image, see @ref filter_depths "combinations".
@param ksize Aperture size used to compute the second-derivative filters. See #getDerivKernels for @param ksize Aperture size used to compute the second-derivative filters. See #getDerivKernels for
details. The size must be positive and odd. details. The size must be positive and odd.
@param scale Optional scale factor for the computed Laplacian values. By default, no scaling is @param scale Optional scale factor for the computed Laplacian values. By default, no scaling is

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