Computer Vision

In this blog post, we'll tackle this challenge head-on with a practical approach to shadow correction using OpenCV. Our method leverages Multi-Scale Retinex (MSR) for illumination normalization, combined with adaptive
Explore OpenCV G-API and how it transforms image-processing pipelines from imperative to declarative with graph-based execution.
We capture the world with cameras that compress depth, texture, and geometry into flat pixel grids, yet our minds effortlessly reconstruct the 3D structure behind them. What if computers could
This blog demonstrates how OpenCV HighGUI can be leveraged to build fully interactive GUIs. From handling mouse and keyboard events to creating trackbars, sliders, radio buttons, and checkboxes, learn how
Computer vision has evolved into one of the most approachable fields for anyone interested in practical AI, whether you’re a student, engineer, hobbyist, or maker. With the performance of the
This blog explores how to use OpenCV.js to develop interactive, real-time webcam filters right inside our browser. From capturing live video streams to applying filters such as blur, edge detection,

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

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

Computer Vision and Deep Learning are the superstars of today’s AI universe, fueling everything from cars that drive themselves to medical tools smart enough to spot issues even seasoned doctors