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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 translation and rotation are two of the most common and essential operations in computer vision. Whether you’re aligning scanned documents, augmenting datasets for deep learning, correcting skewed camera input,
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
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
Accessing and manipulating pixels is the most fundamental step in image processing. Every image is made up of tiny elements called pixels, and modifying these pixels allows us to perform
In this article, we explore different methods for detecting text in images using OpenCV’s built-in models and discuss text removal techniques using image inpainting. OpenCV, one of the most powerful
Autofocus plays a crucial role in imaging systems, ensuring that captured images and video frames are sharp and well-defined. In various applications, such as medical imaging, surveillance, and photography, selecting