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

Kurssisisältö

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.

Tehtävä

Swipe to start coding

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

Ratkaisu

Mark tasks as Completed
Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 1. Luku 7
AVAILABLE TO ULTIMATE ONLY
Pahoittelemme, että jotain meni pieleen. Mitä tapahtui?
some-alt