OpenCV Essentials Acquire, Process, and Analyze Visual Content to Build Full-fledged Imaging Applications Using OpenCV
OpenCV Essentials by Oscar Deniz Suarez, published by Packt Publishing in 2014, is an illustrated guide that spans 196 pages. This book provides a comprehensive overview of OpenCV, a widely used computer vision library, focusing on real-time image processing. It introduces readers to the library’s main modules and algorithms, including those available in version 3.0, while detailing the setup and functionality of OpenCV.
Readers will find an example-based approach that covers essential techniques such as image processing, image segmentation, object detection, and motion analysis. The book also teaches how to enhance OpenCV programs with graphical user interface capabilities, making it suitable for both desktop and mobile applications. With its focus on practical applications in fields like artificial intelligence and programming, this edition serves as a valuable resource for anyone looking to build imaging applications using OpenCV.
Official synopsis Publisher
“OpenCV, 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 mailny 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 desptop 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.” —
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