gaussianblurcv
Blur the image, handle, by applying a Gaussian filter.
Syntax
R = gaussianblurcv(handle, ksize, sigmax...)
R = gaussianblurcv(handle, ksize, sigmax, sigmay, bordertype)
Inputs
- handle
- Handle of an image.
- ksize
- Vector of two natural numbers specifying the Gaussian kernel size. Either the elements must both be positive and odd numbers or they must both be 0 and sigmax must be greater than 0.
- sigmax
- Non-negative scalar specifying the Gaussian kernel standard deviation along the x-axis. If sigmax is 0, the elements of ksize must be positive and odd.
- sigmay
- Optional non-negative scalar specifying the Gaussian kernel standard deviation along the y-axis. Default value is 0.0.
- bordertype
- Optional parameter specifying border type of R.
Default value is 4. Valid values are:
- 0
- Type cv::BORDER_CONSTANT.
- 1
- Type cv::BORDER_REPLICATE
- 2
- Type cv::BORDER_REFLECT
- 3
- Type cv::BORDER_WRAP
- 4
- Type cv::BORDER_REFLECT_101 - default
- 16
- Type cv::BORDER_ISOLATED
Outputs
- R
- Handle of the blurred image.
Examples
handle = imreadcv('image1.jpg');
R = gaussianblurcv(handle, [5 5], 0.0);
handle = imreadcv('image1.jpg');
R = gaussianblurcv(handle, [0 0], 3);