OpenCV
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
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
Imagine this! A video of a world leader giving a speech they never actually delivered, or a celebrity appearing to endorse a product they’ve never even heard of. These aren’t
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
The OpenCV community is set to gather for an exceptional event, The OpenCV-SID Conference on Computer Vision & AI (OSCCA). Our conference is one full day, and will occur on
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
Image cropping is a fundamental operation in image processing that involves selecting a specific region of interest (ROI) from an image and discarding the rest. This technique is widely used
Image resizing and rescaling are fundamental operations in computer vision, essential for optimizing performance, preparing data for machine learning, and enhancing visualization. OpenCV, one of the most powerful and widely