![]() More.Ĭv::pyrMeanShiftFiltering ( InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit= TermCriteria( TermCriteria::MAX_ITER+ TermCriteria::EPS, 5, 1)) More.Ĭv::pyrDown ( InputArray src, OutputArray dst, const Size &dstsize= Size(), int borderType= BORDER_DEFAULT)īlurs an image and downsamples it. Performs advanced morphological transformations. More.Ĭv::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()) It is automatically transformed to Scalar::all(-DBL_MAX) for dilation. Returns "magic" border value for erosion and dilation. More.Ĭv::medianBlur ( InputArray src, OutputArray dst, int ksize)īlurs an image using the median filter. More.Ĭv::Laplacian ( InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType= BORDER_DEFAULT)Ĭalculates the Laplacian of an image. Returns a structuring element of the specified size and shape for morphological operations. More.Ĭv::getStructuringElement (int shape, Size ksize, Point anchor= Point(-1,-1)) More.Ĭv::getGaussianKernel (int ksize, double sigma, int ktype= CV_64F) More.Ĭv::getGaborKernel ( Size ksize, double sigma, double theta, double lambd, double gamma, double psi= CV_PI *0.5, int ktype= CV_64F) Returns filter coefficients for computing spatial image derivatives. More.Ĭv::getDerivKernels ( OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype= CV_32F) More.Ĭv::GaussianBlur ( InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType= BORDER_DEFAULT)īlurs an image using a Gaussian filter. More.Ĭv::filter2D ( InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor= Point(-1,-1), double delta=0, int borderType= BORDER_DEFAULT)Ĭonvolves an image with the kernel. More.Ĭv::erode ( InputArray src, OutputArray dst, InputArray kernel, Point anchor= Point(-1,-1), int iterations=1, int borderType= BORDER_CONSTANT, const Scalar &borderValue= morphologyDefaultBorderValue())Įrodes an image by using a specific structuring element. More.Ĭv::dilate ( InputArray src, OutputArray dst, InputArray kernel, Point anchor= Point(-1,-1), int iterations=1, int borderType= BORDER_CONSTANT, const Scalar &borderValue= morphologyDefaultBorderValue())ĭilates an image by using a specific structuring element. More.Ĭv::buildPyramid ( InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType= BORDER_DEFAULT)Ĭonstructs the Gaussian pyramid for an image. More.Ĭv::boxFilter ( InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor= Point(-1,-1), bool normalize=true, int borderType= BORDER_DEFAULT)īlurs an image using the box filter. ![]() More.Ĭv::blur ( InputArray src, OutputArray dst, Size ksize, Point anchor= Point(-1,-1), int borderType= BORDER_DEFAULT)īlurs an image using the normalized box filter. rect(x,y,w,h) Ī more advanced drawing option is to use beginShape() and endShape() to specify the vertices of a custom polygon: beginShape() Īnd you can build more complex shapes by grouping a set of drawing functions together, even perhaps organizing them into a class.Cv::bilateralFilter ( InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType= BORDER_DEFAULT)Īpplies the bilateral filter to an image. One of the very first things you learn when programming with Processing is how to draw "primitive" shapes to the screen: rectangles, ellipses, lines, triangles, and more. Select File -> Examples in the Processing IDE, then select Topics -> Create Shapes.) ![]() (The source code for this tutorial are in the Processing Examples. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. If you see any errors in this tutorial or have comments, please let us know. ![]()
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