{"@attributes":{"version":"2.0"},"channel":{"title":"Computer Vision on Oriol Al\u00e0s Cerc\u00f3s","link":"https:\/\/oriolac.github.io\/posts\/cv-techniques\/","description":"Recent content in Computer Vision on Oriol Al\u00e0s Cerc\u00f3s","generator":"Hugo -- 0.150.0","language":"en-us","copyright":"Oriol Al\u00e0s Cerc\u00f3s","lastBuildDate":"Fri, 25 Oct 2024 17:51:55 +0200","item":{"title":"Thresholding, filtering and morphological operations","link":"https:\/\/oriolac.github.io\/posts\/cv-techniques\/20240615-cv-techniques\/","pubDate":"Fri, 25 Oct 2024 17:51:55 +0200","guid":"https:\/\/oriolac.github.io\/posts\/cv-techniques\/20240615-cv-techniques\/","description":"Traditional computer vision techniques involve methods and algorithms that do not rely on deep learning or neural networks. Instead, these approaches are not data-driven and they use classical approaches to process and analyze images. So, in this post, we will explore three thresholding techniques"}}}