Learn OpenCV 4 by Building Projects

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Explore OpenCV 4 to create visually appealing cross-platform computer vision applications. This resource covers essential OpenCV 4 concepts and algorithms, delving into advanced techniques like 3D reconstruction, machine learning, and artificial neural networks. It also includes Tesseract OCR, an open-source library for text recognition in images. OpenCV is a premier open-source library, perfect for constructing projects focused on image processing, motion detection, and image segmentation. Whether you're new to computer vision or have some foundational knowledge, this guide provides real-world examples and projects to enhance your understanding. You'll start with OpenCV installation and basic image processing, then progress to user interfaces and more complex algorithms, including machine learning and face detection. The book also covers optical flow video analysis and background subtraction in complex scenes. In the final chapters, you will learn about text segmentation and recognition, along with the new deep learning module. By the end, you will understand matrix operations, filters, and histograms, mastering essential computer vision techniques to create OpenCV projects from scratch. Ideal for software developers with a basic understanding of computer vision and image processing, this guide will help you develop engaging applications with OpenCV. Prior knowledge of C++ is beneficial for grasping the concepts presented