Smooths an image using the normalized box filter

dst = cv.blur(src)
dst = cv.blur(src, 'OptionName',optionValue, ...)

Input

• src input image; it can have any number of channels, which are processed independently, but the depth should be uint8, uint16, int16, single, or double.

Output

• dst output image of the same size and type as src.

Options

• KSize blurring kernel size. default [5,5]
• Anchor Anchor point [x,y]. The default value [-1,-1] means that the anchor is at the kernel center.
• BorderType Border mode used to extrapolate pixels outside of the image. See cv.copyMakeBorder. default 'Default'

The function smooths an image using the kernel:

K = ones(KSize) / prod(KSize)