OpenCV
Earlier this year OpenCV was selected to be part of the GitHub Secure Open Source Fund, which provides maintainers with financial support to participate in a three-week program educating them
OpenCV’s summer update for 2025 is now available in all your favorite flavors on the Releases page. It includes a big list of changes to Core, Imgproc, Calib3d, DNN, Objdetect,
This article was written by Yuantao Feng of the OpenCV China Team. What is RISC-V and RVV 1.0? RISC-V (pronounced “risk-five”) is an open standard instruction set architecture (ISA) based
In computer vision, detecting blobs(regions) that differ from their surroundings is a common and powerful technique. A blob can be as simple as a spot of light in an image
The OpenCV-SID Conference on Computer Vision and AI (OSCCA), OpenCV’s first ever in-person conference, is just a few days away! If you’re in the SF Bay Area, it is a
Edge detection is a crucial technique in image processing and computer vision, used to identify sharp changes in brightness that typically signify object boundaries, edges, lines, or textures. It enables
Image filtering is one of the fundamental building blocks of computer vision. Whether you’re smoothing an image to remove noise or enhancing features for better detection, filtering techniques based on
Color spaces are fundamental to how digital images are represented and processed in computer vision. While the RGB (Red, Green, Blue) is the most commonly used, OpenCV supports several other
Image thresholding is one of the most essential and widely used techniques in image processing and computer vision. It transforms a grayscale image into a binary image by setting pixel
Image annotation is a crucial step in computer vision that involves adding meaningful information—such as shapes, labels, or markers—to an image. This process is widely used in applications like object
Fingerprint matching plays a crucial role in various security applications, such as identity verification and criminal investigations. While most fingerprint matching systems rely on large machine learning models and sophisticated
Creating a product is not just about software; hardware plays a crucial role as well. Specifically, in computer vision, we need compact edge hardware to deploy our object detection models