OpenCV provides a robust and efficient way to manipulate images, including the crucial task of color space conversion. This article focuses on converting images from the common RGB (Red, Green, Blue) color space to the YUV (Luminance, Chrominance U, Chrominance V) color space. YUV is widely used in video processing…
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Mastering Adaptive Thresholding in OpenCV
Adaptive thresholding is a crucial image processing technique for transforming grayscale images into binary (black and white) images. Unlike simple thresholding, which employs a single threshold value for the entire image, adaptive thresholding dynamically calculates a threshold for different image regions. This adaptability is particularly advantageous when dealing with images…
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Getting Started with OpenCV in Rust
OpenCV, the Open Source Computer Vision Library, is a powerful tool for computer vision tasks. While Python is often the language of choice, Rust offers significant advantages in performance and memory safety. This tutorial guides you through setting up your environment and using OpenCV within your Rust projects. Table of…
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Overlaying Rectangles on Images with Matplotlib
Matplotlib is a versatile Python library renowned for its data visualization capabilities. Beyond plotting data, it excels at image manipulation, allowing you to overlay shapes directly onto images. This tutorial demonstrates how to efficiently add rectangles to images using Matplotlib. Table of Contents Drawing Rectangles in Matplotlib Overlaying Rectangles on…