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 or algorithms. Edge devices are computing hardware positioned at the periphery of networks, close to data sources and end users. These devices reduce latency and […]
Cropping an Image Using OpenCV
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 in various applications, such as object detection, face recognition, and image enhancement. OpenCV, a powerful open-source computer vision library, provides efficient methods for cropping images […]
Pixel-Level Image Manipulation using OpenCV
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 a wide range of operations, from simple adjustments to complex transformations. While techniques like brightness and contrast enhancement, applying filters, or edge detection are considered […]
Text Detection and Removal using OpenCV
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 and widely used open-source computer vision libraries, provides several deep-learning-based models for text detection, including EAST, DB50, and DB18. We will compare the performance of […]
Autofocus using OpenCV: A Comparative Study of Focus Measures for Sharpness Assessment
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 the sharpest frame from a sequence can significantly enhance the quality of analysis and presentation. In this article, we explore various focus measurement operators using […]
Resizing and Rescaling Images with OpenCV
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 used computer vision libraries, provides efficient methods to resize images while maintaining quality. This guide covers image resizing in OpenCV using Python and C++, explaining […]
Read, Display and Write an Image using OpenCV
OpenCV is an open-source computer vision library that provides a robust set of tools for handling images and videos. Among its many functionalities, it offers essential methods to read, display, and write images, making it a crucial library for various image-processing applications. With its simple yet efficient functions-imread(), imshow(), and imwrite()-users can seamlessly load images […]
Reading and Writing Videos using OpenCV
OpenCV is widely used for image and video processing. Unlike static images, videos consist of multiple frames played in sequence, requiring careful handling of frame rates and smooth processing. This adds complexity, demanding efficient computation and dynamic frame management. Reading a video file requires processing each frame individually, and then displaying or storing it as […]