OpenCV by example : enhance your understanding of computer vision and image processing by developing real-world projects in OpenCV 3 / Prateek Joshi, David Millan Escriva, Vinicius Godoy.

Format:

Book

Author/Creator:

Joshi, Prateek, author.

Escriva, David Millan, author.

Godoy, Vinicius, author.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

Computer vision.

Image processing.

Physical Description:

1 online resource (297 p.)

Edition:

1st edition

Other Title:

Enhance your understanding of computer vision and image processing by developing real-world projects in OpenCV 3

Place of Publication:

Birmingham, [England] ; Mumbai, [India] : Packt Publishing, 2016.

System Details:

text file

Biography/History:

Joshi Prateek: Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world. Millan Escriva David: David Millan Escriva was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politecnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0. 96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision. G. Mendonca Vinicius: Vinicius G. Mendonca is a professor at PUCPR and a mentor at Apple Developer Academy. He has a master's degree in Computer Vision and Image Processing (PUCPR) and a specialization degree in Game Development (Universidade Positivo). He is also one of the authors of the book Learn OpenCV 4 by Building Projects, also by Packt Publishing. He has been in this field since 1996. His former experience includes designing and programming a multithreaded framework for PBX tests at Siemens, coordination of Aurelio Dictionary software (including its apps for Android, IOS, and Windows phones), and coordination of an augmented reality educational activity for Positivo's Mesa Alfabeto, presented at CEBIT. Currently, he works with server-side Node. js at a company called Tenet Tech.

Summary:

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. Knowledge of C++ is required. What You Will Learn Install OpenCV 3 on your operating system Create the required CMake scripts to compile the C++ application and manage its dependencies Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters Understand the segmentation and feature extraction techniques Remove backgrounds from a static scene to identify moving objects for video surveillance Track different objects in a live video using various techniques Use the new OpenCV functions for text detection and recognition with Tesseract In Detail Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. 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 application...

Contents:

Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with OpenCV; Understanding the human visual system; How do humans understand image content?; Why is it difficult for machines to understand image content?; What can you do with OpenCV?; In-built data structures and input/output; Image processing operations; Building GUI; Video analysis; 3D reconstruction; Feature extraction; Object detection; Machine learning; Computational photography; Shape analysis; Optical flow algorithms; Face and object recognition

Surface matchingText detection and recognition; Installing OpenCV; Windows; Mac OS X; Linux; Summary; Chapter 2: An Introduction to the Basics of OpenCV; Basic CMake configuration files; Creating a library; Managing dependencies; Making the script more complex; Images and matrices; Reading/writing images; Reading videos and cameras; Other basic object types; The vec object type; The Scalar object type; The Point object type; The Size object type; The Rect object type; RotatedRect object type; Basic matrix operations; Basic data persistence and storage; Writing to a file storage; Summary

Chapter 3: Learning the Graphical User Interface and Basic FilteringIntroducing the OpenCV user interface; A basic graphical user interface with OpenCV; The graphical user interface with QT; Adding slider and mouse events to our interfaces; Adding buttons to a user interface; OpenGL support; Summary; Chapter 4: Delving into Histograms and Filters; Generating a CMake script file; Creating the Graphical User Interface; Drawing a histogram; Image color equalization; Lomography effect; The cartoonize effect; Summary; Chapter 5: Automated Optical Inspection, Object Segmentation, and Detection

Isolating objects in a sceneCreating an application for AOI; Preprocessing the input image; Noise removal; Removing the background using the light pattern for segmentation; The thresholding operation; Segmenting our input image; The connected component algorithm; The findContours algorithm; Summary; Chapter 6: Learning Object Classification; Introducing machine learning concepts; Computer Vision and the machine learning workflow; Automatic object inspection classification example; Feature extraction; Training an SVM model; Input image prediction; Summary

Chapter 7: Detecting Face Parts and Overlaying MasksUnderstanding Haar cascades; What are integral images?; Overlaying a facemask in a live video; What happened in the code?; Get your sunglasses on; Looking inside the code; Tracking your nose, mouth, and ears; Summary; Chapter 8: Video Surveillance, Background Modeling, and Morphological Operations; Understanding background subtraction; Naive background subtraction; Does it work well?; Frame differencing; How well does it work?; The Mixture of Gaussians approach; What happened in the code?; Morphological image processing

What's the underlying principle?

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed July 27, 2016).

ISBN:

1-78528-707-9

OCLC:

937787265