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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…
Introduction Imagine a world where hospital diagnoses are faster and more accurate, cars drive themselves through congested streets, and your favorite online store suggests what you need before you even think to search for it. That’s the transformative power of Artificial Intelligence (AI)—no longer a buzzword but a game-changer across healthcare, finance, retail, and beyond.…
OpenMV has been creating award-winning low-cost, extensible, machine vision modules for years now, and this week they’ve just launched a new Kickstarter campaign to fund two more amazingly tiny, amazingly powerful, devices. We’re so excited about them we invited CEO and Co-Founder Kwabena Agyeman to be the first guest on our new podcast, entitled OpenCV In Conversation.…
Artificial Intelligence (AI) has been at the forefront of technological innovation, continually reshaping industries and redefining productivity. One of the most groundbreaking advancements in this space is Manus AI, an autonomous AI agent developed by the Chinese startup Monica. Launched on March 6, 2025, Manus AI is poised to transform how we interact with technology…
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 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…
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…
Artificial Intelligence (AI) is revolutionizing virtually every industry- healthcare, finance, retail, and beyond. As AI becomes more deeply integrated into our daily lives, AI engineering has emerged as a highly sought-after career path. This comprehensive 6-month roadmap will guide you through the foundational skills, essential tools, and real-world projects needed to become a competent AI…
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…
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…