Trong bài viết trước, các bạn đã biết được OpenCV là gì và nó có thể làm những gì. Bài viết hôm nay, tôi sẽ giới thiệu chi tiết về các sử dụng OpenCV với Visual Studio 2017 (có mã là Visual Studio 15 - vc15).
Trong các bài viết trước, các bạn đã có thể hình dung được OpenCV là gì và nó có thể làm được những gì. Trong bài viết này tôi sẽ giới thiệu cách sử dụng OpenCV để khử nhiễu ảnh. Đây là một chức năng thuộc về Image Processing.
![[OpenCV] Image Denoising - Khử nhiễu hình ảnh](data:image/jpeg;base64,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)
OpenCV
Project Management