I’m pretty sure we all know what blurring is. Looking for the source code to this post? Jump Right To The Downloads Section OpenCV Smoothing and Blurring To learn how to perform smoothing and blurring with OpenCV, just keep reading. You can start by choosing your own datasets or using our PyimageSearch’s assorted library of useful datasets.īring data in any of 40+ formats to Roboflow, train using any state-of-the-art model architectures, deploy across multiple platforms (API, NVIDIA, browser, iOS, etc), and connect to applications or 3rd party tools. Sign up or Log in to your Roboflow account to access state of the art dataset libaries and revolutionize your computer vision pipeline. Roboflow has free tools for each stage of the computer vision pipeline that will streamline your workflows and supercharge your productivity. It allows us to see how these techniques can reduce noise and detail in images. Bilateral blurring ( cv2.bilateralFilter)īy the end of this tutorial, you’ll be able to confidently apply OpenCV’s blurring functions to your own images.Ī dataset of images with different textures and details is beneficial for understanding the effects of smoothing and blurring.
Weighted Gaussian blurring ( cv2.GaussianBlur).We will cover the following blurring operations
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