Opencv Mat Gaussian Blur

Opencv gaussian blur in gaussian blur operation the image is convolved with a gaussian filter instead of the box filter.

Opencv mat gaussian blur. Interestingly in the above filters the central element is a newly calculated value which may be a pixel value in the image or a new value. W and h have to be odd and positive numbers otherwise the size will be calculated using the sigma x and sigma y. Image smoothing techniques help in reducing the noise. We need to very careful in choosing the size of the kernel and the standard deviation of the gaussian distribution in x and y direction should be chosen carefully.

Gaussian blur on images with opencv opencv has an in built function to perform gaussian blur smoothing on images easily. In opencv image smoothing also called blurring could be done in many ways. Here is the code using the gaussian blur. We can use this filter to eliminate noises in an image.

The gaussian filter is a low pass filter that removes the h. This is the most commonly used blurring method. This is highly effective against salt and pepper noise in an image. Opencv 3 image video processing installing on ubuntu 13 mat rix object image container creating mat objects the core.

It is performed by the function gaussianblur. As in any other signals images also can contain different types of noise especially because of the source camera sensor. It means that for each pixel location x y in the source image normally rectangular its neighborhood is considered and used to compute the response. Here the function cv medianblur takes the median of all the pixels under the kernel area and the central element is replaced with this median value.

Functions and classes described in this section are used to perform various linear or non linear filtering operations on 2d images represented as mat s. The size of the kernel to be used the neighbors to be considered. Here we use 4 arguments more details check the opencv reference. All you have to specify is the size of the gaussian kernel with which your image should be convolved.