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SKU/Artículo: AMZ-1783984244
OpenCV Essentials
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.57 kg
0.57 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Acquire, process, and analyze visual content to build full-fledged imaging applications using OpenCVAbout This BookCreate OpenCV programs with a rich user interfaceDevelop real-world imaging applications using free tools and librariesUnderstand the intricate details of OpenCV and its implementation using easy-to-follow examplesWho This Book Is ForThis book is intended for C++ developers who want to learn how to implement the main techniques of OpenCV and get started with it quickly. Working experience with computer vision / image processing is expected.What You Will LearnExplore advanced image processing techniques such as the retina algorithm, morphing, and color transferCreate programs using advanced segmentation tools such as the new connectedComponents and connectedComponentsWithStats functionsUse flood filling along with the watershed transform to obtain better segmentationsExplore the new powerful KAZE featuresUse advanced video-based background/foreground segmentation for class BackgroundSubtractor and ECC-based warpingLeverage the available object detection frameworks and the new scene text detection functionalityGet a grasp of advanced topics such as machine learning and GPU optimizationIn DetailOpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions used in both academia and industry. It mainly focuses on real-time image processing. As cameras get cheaper and imaging features grow in demand, the range of applications using OpenCV increases significantly, both for desktop and mobile platforms.The book provides an example-based tour of OpenCV's main modules and algorithms, including the latest available in version 3.0. Starting with the setup and description of the library, this book teaches you how to add graphical user interface capabilities to OpenCV programs. Further, you will learn about the essential techniques such as image processing, image segmentation, object detection, and motion, which will help you process and analyze images better. You will also learn how to extract 2D features from images and how to take advantage of machine learning. By the end of this book, you will completely understand how to put those computer vision techniques into practice.
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