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@ -1191,7 +1191,7 @@ protected: |
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//! @addtogroup imgproc_feature
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//! @{
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/** @example lsd_lines.cpp
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/** @example samples/cpp/lsd_lines.cpp
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An example using the LineSegmentDetector |
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\image html building_lsd.png "Sample output image" width=434 height=300 |
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*/ |
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@ -1349,11 +1349,12 @@ operation is shifted. |
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*/ |
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CV_EXPORTS_W Mat getStructuringElement(int shape, Size ksize, Point anchor = Point(-1,-1)); |
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/** @example Smoothing.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp
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Sample code for simple filters |
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Check @ref tutorial_gausian_median_blur_bilateral_filter "the corresponding tutorial" for more details |
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*/ |
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/** @brief Blurs an image using the median filter.
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The function smoothes an image using the median filter with the \f$\texttt{ksize} \times |
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@ -1556,11 +1557,12 @@ CV_EXPORTS_W void sepFilter2D( InputArray src, OutputArray dst, int ddepth, |
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Point anchor = Point(-1,-1), |
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double delta = 0, int borderType = BORDER_DEFAULT ); |
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/** @example Sobel_Demo.cpp
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/** @example samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
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Sample code using Sobel and/or Scharr OpenCV functions to make a simple Edge Detector |
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Check @ref tutorial_sobel_derivatives "the corresponding tutorial" for more details |
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*/ |
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/** @brief Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
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In all cases except one, the \f$\texttt{ksize} \times \texttt{ksize}\f$ separable kernel is used to |
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@ -1656,7 +1658,7 @@ CV_EXPORTS_W void Scharr( InputArray src, OutputArray dst, int ddepth, |
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int dx, int dy, double scale = 1, double delta = 0, |
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int borderType = BORDER_DEFAULT ); |
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/** @example laplace.cpp
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/** @example samples/cpp/laplace.cpp
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An example using Laplace transformations for edge detection |
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*/ |
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@ -1692,7 +1694,7 @@ CV_EXPORTS_W void Laplacian( InputArray src, OutputArray dst, int ddepth, |
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//! @addtogroup imgproc_feature
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//! @{
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/** @example edge.cpp
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/** @example samples/cpp/edge.cpp
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This program demonstrates usage of the Canny edge detector |
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Check @ref tutorial_canny_detector "the corresponding tutorial" for more details |
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@ -1932,7 +1934,7 @@ CV_EXPORTS_W void goodFeaturesToTrack( InputArray image, OutputArray corners, |
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InputArray mask, int blockSize, |
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int gradientSize, bool useHarrisDetector = false, |
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double k = 0.04 ); |
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/** @example houghlines.cpp
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/** @example samples/cpp/tutorial_code/ImgTrans/houghlines.cpp
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An example using the Hough line detector |
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*/ |
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@ -2021,7 +2023,7 @@ CV_EXPORTS_W void HoughLinesPointSet( InputArray _point, OutputArray _lines, int |
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double min_rho, double max_rho, double rho_step, |
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double min_theta, double max_theta, double theta_step ); |
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/** @example houghcircles.cpp
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/** @example samples/cpp/tutorial_code/ImgTrans/houghcircles.cpp
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An example using the Hough circle detector |
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*/ |
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@ -2069,7 +2071,7 @@ CV_EXPORTS_W void HoughCircles( InputArray image, OutputArray circles, |
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//! @addtogroup imgproc_filter
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//! @{
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/** @example morphology2.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
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Advanced morphology Transformations sample code |
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Check @ref tutorial_opening_closing_hats "the corresponding tutorial" for more details |
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@ -2102,11 +2104,12 @@ CV_EXPORTS_W void erode( InputArray src, OutputArray dst, InputArray kernel, |
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int borderType = BORDER_CONSTANT, |
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const Scalar& borderValue = morphologyDefaultBorderValue() ); |
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/** @example Morphology_1.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
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Erosion and Dilation sample code |
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Check @ref tutorial_erosion_dilatation "the corresponding tutorial" for more details |
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*/ |
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/** @brief Dilates an image by using a specific structuring element.
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The function dilates the source image using the specified structuring element that determines the |
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@ -2236,9 +2239,10 @@ CV_EXPORTS_W void warpAffine( InputArray src, OutputArray dst, |
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int borderMode = BORDER_CONSTANT, |
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const Scalar& borderValue = Scalar()); |
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/** @example warpPerspective_demo.cpp
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/** @example samples/cpp/warpPerspective_demo.cpp
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An example program shows using cv::findHomography and cv::warpPerspective for image warping |
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*/ |
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/** @brief Applies a perspective transformation to an image.
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The function warpPerspective transforms the source image using the specified matrix: |
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@ -2434,7 +2438,7 @@ source image. The center must be inside the image. |
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CV_EXPORTS_W void getRectSubPix( InputArray image, Size patchSize, |
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Point2f center, OutputArray patch, int patchType = -1 ); |
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/** @example polar_transforms.cpp
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/** @example samples/cpp/polar_transforms.cpp
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An example using the cv::linearPolar and cv::logPolar operations |
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*/ |
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@ -2869,9 +2873,10 @@ CV_EXPORTS_W void adaptiveThreshold( InputArray src, OutputArray dst, |
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//! @addtogroup imgproc_filter
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//! @{
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/** @example Pyramids.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/Pyramids/Pyramids.cpp
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An example using pyrDown and pyrUp functions |
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*/ |
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/** @brief Blurs an image and downsamples it.
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By default, size of the output image is computed as `Size((src.cols+1)/2, (src.rows+1)/2)`, but in |
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@ -3120,7 +3125,7 @@ CV_EXPORTS_AS(undistortPointsIter) void undistortPoints( InputArray src, OutputA |
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//! @addtogroup imgproc_hist
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//! @{
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/** @example demhist.cpp
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/** @example samples/cpp/demhist.cpp
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An example for creating histograms of an image |
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*/ |
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@ -3317,7 +3322,7 @@ CV_EXPORTS_AS(EMD) float wrapperEMD( InputArray signature1, InputArray signature |
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//! @} imgproc_hist
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/** @example watershed.cpp
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/** @example samples/cpp/watershed.cpp
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An example using the watershed algorithm |
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*/ |
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@ -3397,7 +3402,7 @@ CV_EXPORTS_W void pyrMeanShiftFiltering( InputArray src, OutputArray dst, |
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//! @addtogroup imgproc_misc
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//! @{
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/** @example grabcut.cpp
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/** @example samples/cpp/grabcut.cpp
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An example using the GrabCut algorithm |
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*/ |
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@ -3424,11 +3429,10 @@ CV_EXPORTS_W void grabCut( InputArray img, InputOutputArray mask, Rect rect, |
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InputOutputArray bgdModel, InputOutputArray fgdModel, |
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int iterCount, int mode = GC_EVAL ); |
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/** @example distrans.cpp
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An example on using the distance transform\
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/** @example samples/cpp/distrans.cpp
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An example on using the distance transform |
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*/ |
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/** @brief Calculates the distance to the closest zero pixel for each pixel of the source image.
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The function cv::distanceTransform calculates the approximate or precise distance from every binary |
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@ -3500,7 +3504,7 @@ the first variant of the function and distanceType == #DIST_L1. |
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CV_EXPORTS_W void distanceTransform( InputArray src, OutputArray dst, |
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int distanceType, int maskSize, int dstType=CV_32F); |
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/** @example ffilldemo.cpp
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/** @example samples/cpp/ffilldemo.cpp
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An example using the FloodFill technique |
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*/ |
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@ -3701,9 +3705,10 @@ enum TemplateMatchModes { |
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TM_CCOEFF_NORMED = 5 //!< \f[R(x,y)= \frac{ \sum_{x',y'} (T'(x',y') \cdot I'(x+x',y+y')) }{ \sqrt{\sum_{x',y'}T'(x',y')^2 \cdot \sum_{x',y'} I'(x+x',y+y')^2} }\f]
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}; |
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/** @example MatchTemplate_Demo.cpp
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/** @example samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
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An example using Template Matching algorithm |
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*/ |
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/** @brief Compares a template against overlapped image regions.
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The function slides through image , compares the overlapped patches of size \f$w \times h\f$ against |
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@ -3735,6 +3740,10 @@ CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ, |
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//! @addtogroup imgproc_shape
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//! @{
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/** @example samples/cpp/connected_components.cpp
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This program demonstrates connected components and use of the trackbar |
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*/ |
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/** @brief computes the connected components labeled image of boolean image
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image with 4 or 8 way connectivity - returns N, the total number of labels [0, N-1] where 0 |
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@ -3842,6 +3851,16 @@ CV_EXPORTS_W void findContours( InputOutputArray image, OutputArrayOfArrays cont |
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CV_EXPORTS void findContours( InputOutputArray image, OutputArrayOfArrays contours, |
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int mode, int method, Point offset = Point()); |
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/** @example samples/cpp/squares.cpp
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A program using pyramid scaling, Canny, contours and contour simplification to find |
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squares in a list of images (pic1-6.png). Returns sequence of squares detected on the image. |
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*/ |
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/** @example samples/tapi/squares.cpp
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A program using pyramid scaling, Canny, contours and contour simplification to find |
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squares in the input image. |
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*/ |
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/** @brief Approximates a polygonal curve(s) with the specified precision.
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The function cv::approxPolyDP approximates a curve or a polygon with another curve/polygon with less |
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@ -3940,7 +3959,7 @@ The function finds the minimal enclosing circle of a 2D point set using an itera |
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CV_EXPORTS_W void minEnclosingCircle( InputArray points, |
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CV_OUT Point2f& center, CV_OUT float& radius ); |
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/** @example minarea.cpp
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/** @example samples/cpp/minarea.cpp
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*/ |
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/** @brief Finds a triangle of minimum area enclosing a 2D point set and returns its area.
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@ -3976,7 +3995,7 @@ The function compares two shapes. All three implemented methods use the Hu invar |
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CV_EXPORTS_W double matchShapes( InputArray contour1, InputArray contour2, |
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int method, double parameter ); |
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/** @example convexhull.cpp
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/** @example samples/cpp/convexhull.cpp
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An example using the convexHull functionality |
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*/ |
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@ -4036,7 +4055,7 @@ CV_EXPORTS_W bool isContourConvex( InputArray contour ); |
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CV_EXPORTS_W float intersectConvexConvex( InputArray _p1, InputArray _p2, |
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OutputArray _p12, bool handleNested = true ); |
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/** @example fitellipse.cpp
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/** @example samples/cpp/fitellipse.cpp
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An example using the fitEllipse technique |
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*/ |
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@ -4253,9 +4272,10 @@ enum ColormapTypes |
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COLORMAP_PARULA = 12 //!< 
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}; |
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/** @example falsecolor.cpp
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/** @example samples/cpp/falsecolor.cpp
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An example using applyColorMap function |
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*/ |
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/** @brief Applies a GNU Octave/MATLAB equivalent colormap on a given image.
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@param src The source image, grayscale or colored of type CV_8UC1 or CV_8UC3. |
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@ -4342,9 +4362,10 @@ CV_EXPORTS void rectangle(CV_IN_OUT Mat& img, Rect rec, |
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const Scalar& color, int thickness = 1, |
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int lineType = LINE_8, int shift = 0); |
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/** @example Drawing_2.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp
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An example using drawing functions |
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*/ |
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/** @brief Draws a circle.
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The function cv::circle draws a simple or filled circle with a given center and radius. |
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@ -4468,9 +4489,11 @@ CV_EXPORTS void fillPoly(Mat& img, const Point** pts, |
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const Scalar& color, int lineType = LINE_8, int shift = 0, |
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Point offset = Point() ); |
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/** @example Drawing_1.cpp
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/** @example samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_1.cpp
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An example using drawing functions |
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Check @ref tutorial_random_generator_and_text "the corresponding tutorial" for more details |
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*/ |
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/** @brief Fills the area bounded by one or more polygons.
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The function cv::fillPoly fills an area bounded by several polygonal contours. The function can fill |
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@ -4510,12 +4533,12 @@ CV_EXPORTS_W void polylines(InputOutputArray img, InputArrayOfArrays pts, |
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bool isClosed, const Scalar& color, |
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int thickness = 1, int lineType = LINE_8, int shift = 0 ); |
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/** @example contours2.cpp
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/** @example samples/cpp/contours2.cpp
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An example program illustrates the use of cv::findContours and cv::drawContours |
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\image html WindowsQtContoursOutput.png "Screenshot of the program" |
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*/ |
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/** @example segment_objects.cpp
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/** @example samples/cpp/segment_objects.cpp
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An example using drawContours to clean up a background segmentation result |
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*/ |
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Suleyman TURKMEN
6 years ago
