Aug. 15, 2022, 10:43 p.m. | /u/Puzzleheaded-Beat-42

Computer Vision www.reddit.com

Hi there,

I'm working on a task to preprocess a dataset used to detect different types of ground surfaces through an image segmentation model. Here is a sample:

[Original Image](https://preview.redd.it/tu6xxxqvfyh91.png?width=713&format=png&auto=webp&s=196c23cbacaea7b1b2046b96a7b4bd4679e46be7)

And after applying Canny edge detection and inverting the image, I get this

​

[After applying a Gaussian filter, Canny and invert it](https://preview.redd.it/4h7m53u5gyh91.png?width=1290&format=png&auto=webp&s=d205ae7007c57e8c5836e7ec4d1ee7bc2073e60b)

The problem is, for ground surfaces where there is a lot of vegetation, grass and stuff, Canny gives me a very noisy surface which I can't preprocess. …

computervision denoising image images segmentation

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