Opencv common method source link (continuous update)

1. Calculate the absolute value of the matrix difference cv::absdiff application

CV_EXPORTS_W void absdiff(InputArray src1, InputArray src2, OutputArray dst);

2. Use threshold to output binary image cv::threshold application

double threshold( InputArray src, OutputArray dst,
                               double thresh, double maxval, int type );

3. Compare image pixel values cv::compare application

CV_EXPORTS_W void compare(InputArray src1, InputArray src2, OutputArray dst, int cmpop);

4. Segment the foreground and background of the image cv::grabCut application

CV_EXPORTS_W void grabCut( InputArray img, InputOutputArray mask, Rect rect,
                           InputOutputArray bgdModel, InputOutputArray fgdModel,
                           int iterCount, int mode = GC_EVAL );

5. Recognize a certain range of pixels in the image and output a binary image cv::inRange application

CV_EXPORTS_W void inRange(InputArray src, InputArray lowerb,
                          InputArray upperb, OutputArray dst);

6. Calculate the histogram cv::calcHist application

CV_EXPORTS void calcHist( const Mat* images, int nimages,
                          const int* channels, InputArray mask,
                          OutputArray hist, int dims, const int* histSize,
                          const float** ranges, bool uniform = true, bool accumulate = false );

7. Apply lookup table cv::LUT application

CV_EXPORTS_W void LUT(InputArray src, InputArray lut, OutputArray dst);

8. Back projection histogram cv::calcBackProject application

CV_EXPORTS void calcBackProject( const Mat* images, int nimages,
                                 const int* channels, InputArray hist,
                                 OutputArray backProject, const float** ranges,
                                 double scale = 1, bool uniform = true );

9. Mean shift algorithm cv::meanShift application

CV_EXPORTS_W int meanShift( InputArray probImage, 
                            CV_IN_OUT Rect& window,
                            TermCriteria criteria );

10. Comparison histogram cv::compareHist application

CV_EXPORTS_W double compareHist( InputArray H1, 
                                 InputArray H2, 
                                 int method );

11. Transpose and flip the image cv::transposecv::flip application

CV_EXPORTS_W void transpose(InputArray src, OutputArray dst);

CV_EXPORTS_W void flip(InputArray src, OutputArray dst, int flipCode);

12. Adaptive thresholding cv::adaptiveThreshold application

CV_EXPORTS_W void adaptiveThreshold( InputArray src, OutputArray dst,
                                     double maxValue, int adaptiveMethod,
                                     int thresholdType, int blockSize, double C );

13. Generate integral image cv::integral application

CV_EXPORTS_W void integral( InputArray src, OutputArray sum, int sdepth = -1 );

14. Corrosion and swelling images cv::erodecv::dilate application

CV_EXPORTS_W void erode( InputArray src, OutputArray dst, InputArray kernel,
                         Point anchor = Point(-1,-1), int iterations = 1,
                         int borderType = BORDER_CONSTANT,
                         const Scalar& borderValue = morphologyDefaultBorderValue() );

CV_EXPORTS_W void dilate( InputArray src, OutputArray dst, InputArray kernel,
                          Point anchor = Point(-1,-1), int iterations = 1,
                          int borderType = BORDER_CONSTANT,
                          const Scalar& borderValue = morphologyDefaultBorderValue() );

15. Open and close the image cv::morphologyEx application

CV_EXPORTS_W void morphologyEx( InputArray src, OutputArray dst,
                                int op, InputArray kernel,
                                Point anchor = Point(-1,-1), int iterations = 1,
                                int borderType = BORDER_CONSTANT,
                                const Scalar& borderValue = morphologyDefaultBorderValue() );

16. Watershed function cv::watershed application

CV_EXPORTS_W void watershed( InputArray image, InputOutputArray markers );

17. Copy / Transform the image GpuMat::convertTo application

void GpuMat::convertTo(OutputArray dst, int rtype, 
					   double alpha, double beta) const

18. Block filter and Gaussian filter cv::blurcv::GaussianBlur application

CV_EXPORTS_W void blur( InputArray src, OutputArray dst,
                        Size ksize, Point anchor = Point(-1,-1),
                        int borderType = BORDER_DEFAULT );

CV_EXPORTS_W void GaussianBlur( InputArray src, OutputArray dst, Size ksize,
                                double sigmaX, double sigmaY = 0,
                                int borderType = BORDER_DEFAULT );

19. Two dimensional custom kernel filter cv::filter2D application

CV_EXPORTS_W void filter2D( InputArray src, OutputArray dst, int ddepth,
                            InputArray kernel, Point anchor = Point(-1,-1),
                            double delta = 0, int borderType = BORDER_DEFAULT );

20. Image reduction and enlargement cv::pyrDowncv::pyrUpcv::resize application

CV_EXPORTS_W void pyrDown( InputArray src, OutputArray dst,
                           const Size& dstsize = Size(), int borderType = BORDER_DEFAULT );

CV_EXPORTS_W void pyrUp( InputArray src, OutputArray dst,
                         const Size& dstsize = Size(), int borderType = BORDER_DEFAULT );

CV_EXPORTS_W void resize( InputArray src, OutputArray dst,
                          Size dsize, double fx = 0, double fy = 0,
                          int interpolation = INTER_LINEAR );

21. Median filter cv::medianBlur application

CV_EXPORTS_W void medianBlur( InputArray src, OutputArray dst, int ksize );