Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Smoothing | Fundamentals of Image Manipulation with Python
Fundamentals of Image Manipulation with Python
course content

Kursusindhold

Fundamentals of Image Manipulation with Python

book
Smoothing

In OpenCV, Gaussian Blur is a smoothing filter used to reduce noise and detail in an image. This filter is based on the Gaussian function, which is bell-shaped and diminishes as the distance from the center increases. The cv2.GaussianBlur() function applies this type of blur to an image.

The function requires three parameters:

  • the image to be blurred;

  • the kernel size (specified as a tuple of width and height);

  • the standard deviation in the x and y directions.

If the standard deviation is set to zero, it is calculated from the kernel size. The kernel size determines the area used to calculate the blur, while the standard deviation controls the amount of blur.

Opgave

Swipe to start coding

  1. Apply Gaussian blue to the image "image1.jpg".

Løsning

Mark tasks as Completed
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 7
AVAILABLE TO ULTIMATE ONLY
Vi beklager, at noget gik galt. Hvad skete der?
some-alt