标签:ber ted 示例 depend standard str media inpu dev
/** @brief Blurs an image using a Gaussian filter. The function convolves the source image with the specified Gaussian kernel. In-place filtering is supported. @param src input image; the image can have any number of channels, which are processed independently, but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F. @param dst output image of the same size and type as src. @param ksize Gaussian kernel size. ksize.width and ksize.height can differ but they both must be positive and odd. Or, they can be zero‘s and then they are computed from sigma. @param sigmaX Gaussian kernel standard deviation in X direction. @param sigmaY Gaussian kernel standard deviation in Y direction; if sigmaY is zero, it is set to be equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height, respectively (see #getGaussianKernel for details); to fully control the result regardless of possible future modifications of all this semantics, it is recommended to specify all of ksize, sigmaX, and sigmaY. @param borderType pixel extrapolation method, see #BorderTypes @sa sepFilter2D, filter2D, blur, boxFilter, bilateralFilter, medianBlur */ CV_EXPORTS_W void GaussianBlur( InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY = 0, int borderType = BORDER_DEFAULT );
标签:ber ted 示例 depend standard str media inpu dev
原文地址:https://www.cnblogs.com/luoyinjie/p/12240714.html