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OpenCV By Example [Prateek Joshi, David Millan Escriva, Vinicius Godoy] on kometdownblosbel.ga *FREE* shipping on qualifying offers. Enhance your understanding .
Table of contents

Popular Features. New Releases. OpenCV By Example. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.

Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.

Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects. Product details Format Paperback pages Dimensions x x He has over eight years of experience in this field with a primary focus on content-based analysis and deep learning.

OpenCV By Example, Book by Prateek Joshi (Paperback) | kometdownblosbel.ga

His work in this field has resulted in multiple patents, tech demos, and research papers at major IEEE conferences. He has won many hackathons using a wide variety of technologies related to image recognition. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects.

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images Who This Book Is For If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you.

Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Virtual Reality. Game Engines. Embedded Systems. Home Automation. Industrial Internet of Things. IoT Development.

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Cloud Security. Information Security. Malware Analysis. Reverse Engineering. Web Penetration Testing. Audio Processing. Document Preparation. Image Editing. Project Management. Soft Skills. User Experience. Workflow Automation. Business Management. Enterprise Resource Planning. Operations Management.

Real Time Communication. UI Development. Video Editing. OpenCV By Example. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3. Skip to the end of the images gallery. Skip to the beginning of the images gallery.

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Table of contents. Understanding the human visual system How do humans understand image content? What can you do with OpenCV? Installing OpenCV Summary. Introducing machine learning concepts Computer Vision and the machine learning workflow Automatic object inspection classification example Feature extraction Summary.

Understanding Haar cascades What are integral images? Overlaying a facemask in a live video Get your sunglasses on Tracking your nose, mouth, and ears Summary. Understanding background subtraction Naive background subtraction Frame differencing The Mixture of Gaussians approach Morphological image processing Slimming the shapes Thickening the shapes Other morphological operators Summary. Tracking objects of a specific color Building an interactive object tracker Detecting points using the Harris corner detector Shi-Tomasi Corner Detector Feature-based tracking Summary.


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OpenCV By Example

What do I get with a Video? Download this Video course in MP4 format DRM FREE - read and interact with your content when you want, where you want, and how you want Immediately access your video course for viewing or download through your Packt account. What do I get with an eBook? Add To Cart. Start a FREE day trial. Related Products. OpenCV 3. Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images.

Understanding the human visual system. How do humans understand image content? Installing OpenCV. Basic CMake configuration files. Creating a library. Managing dependencies.

Where can I learn more?

Making the script more complex. Images and matrices. Reading videos and cameras. Other basic object types. Basic matrix operations. Basic data persistence and storage.