Opencv Android Programming By Example

Download Opencv Android Programming By Example full books in PDF, epub, and Kindle. Read online Opencv Android Programming By Example ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Opencv Android Programming by Example

Author : Amgad Mohammad
Publisher :
ISBN 13 : 9781783550593
Total Pages : 202 pages
Book Rating : 4.5/5 (55 download)

DOWNLOAD NOW!

Book Synopsis Opencv Android Programming by Example by : Amgad Mohammad

Download or read book Opencv Android Programming by Example written by Amgad Mohammad and published by . This book was released on 2015-12-14 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop vision-aware and intelligent Android applications with the robust OpenCV libraryAbout This Book• This is the most up-to-date book on OpenCV Android programming on the market at the moment. There is no direct competition for our title.• Based on a technology that is increasing in popularity, proven by activity in forums related to this topic.• This book uniquely covers applications such as the Panoramic viewer and Automatic Selfie, among others.Who This Book Is ForIf you are an Android developer and want to know how to implement vision-aware applications using OpenCV, then this book is definitely for you.It would be very helpful if you understand the basics of image processing and computer vision, but no prior experience is requiredWhat You Will Learn• Identify and install all the elements needed to start building vision-aware Android applications• Explore image representation, colored and gray scale• Recognize and apply convolution operations and filtering to deal with noisy data• Use different shape analysis techniques• Extract and identify interest points in an image• Understand and perform object detection• Run native computer vision algorithms and gain performance boostsIn DetailStarting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to gain performance boosts. Next we will discuss and use several image processing algorithms such as histogram equalization, filters, and color space conversion. You then will learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hough Line Transform, and Hough Circle Transform. In addition to using shape analysis to find things in images, you will learn how to describe objects in images in a more robust way using different feature detectors and descriptors.By the end of this book, you will be able to make intelligent decisions using the famous Adaboost learning algorithm.Style and approachAn easy-to-follow tutorial packed with hands-on examples. Each topic is explained and placed in context, and the book supplies full details of the concepts used for added proficiency.

OpenCV Android Programming By Example

Author : Amgad Muhammad
Publisher : Packt Publishing Ltd
ISBN 13 : 178528293X
Total Pages : 202 pages
Book Rating : 4.7/5 (852 download)

DOWNLOAD NOW!

Book Synopsis OpenCV Android Programming By Example by : Amgad Muhammad

Download or read book OpenCV Android Programming By Example written by Amgad Muhammad and published by Packt Publishing Ltd. This book was released on 2015-12-15 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop vision-aware and intelligent Android applications with the robust OpenCV library About This Book This is the most up-to-date book on OpenCV Android programming on the market at the moment. There is no direct competition for our title. Based on a technology that is increasing in popularity, proven by activity in forums related to this topic. This book uniquely covers applications such as the Panoramic viewer and Automatic Selfie, among others. Who This Book Is For If you are an Android developer and want to know how to implement vision-aware applications using OpenCV, then this book is definitely for you. It would be very helpful if you understand the basics of image processing and computer vision, but no prior experience is required What You Will Learn Identify and install all the elements needed to start building vision-aware Android applications Explore image representation, colored and gray scale Recognize and apply convolution operations and filtering to deal with noisy data Use different shape analysis techniques Extract and identify interest points in an image Understand and perform object detection Run native computer vision algorithms and gain performance boosts In Detail Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. You will discover that, though computer vision is a challenging subject, the ideas and algorithms used are simple and intuitive, and you will appreciate the abstraction layer that OpenCV uses to do the heavy lifting for you. Packed with many examples, the book will help you understand the main data structures used within OpenCV, and how you can use them to gain performance boosts. Next we will discuss and use several image processing algorithms such as histogram equalization, filters, and color space conversion. You then will learn about image gradients and how they are used in many shape analysis techniques such as edge detection, Hough Line Transform, and Hough Circle Transform. In addition to using shape analysis to find things in images, you will learn how to describe objects in images in a more robust way using different feature detectors and descriptors. By the end of this book, you will be able to make intelligent decisions using the famous Adaboost learning algorithm. Style and approach An easy-to-follow tutorial packed with hands-on examples. Each topic is explained and placed in context, and the book supplies full details of the concepts used for added proficiency.

Mastering OpenCV Android Application Programming

Author : Salil Kapur
Publisher : Packt Publishing Ltd
ISBN 13 : 1783988215
Total Pages : 216 pages
Book Rating : 4.7/5 (839 download)

DOWNLOAD NOW!

Book Synopsis Mastering OpenCV Android Application Programming by : Salil Kapur

Download or read book Mastering OpenCV Android Application Programming written by Salil Kapur and published by Packt Publishing Ltd. This book was released on 2015-07-29 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenCV is a famous computer vision library, used to analyze and transform copious amounts of image data, even in real time and on a mobile device. This book focuses on leveraging mobile platforms to build interactive and useful applications. The book starts off with an introduction to OpenCV and Android and how they interact with each other using OpenCV's Java API. You'll also discover basic image processing techniques such as erosion and dilation of images, before walking through how to build more complex applications, such as object detection, image stitching, and face detection. As you progress, you will be introduced to OpenCV's machine learning framework, enabling you to make your applications smarter. The book ends with a short chapter covering useful Android tips and tricks and some common errors and solutions that people might face while building an application. By the end of the book, readers will have gained more expertise in building their own OpenCV projects for the Android platform and integrating OpenCV application programming into existing projects.

Mastering OpenCV with Practical Computer Vision Projects

Author : Daniel Lélis Baggio
Publisher : Packt Publishing Ltd
ISBN 13 : 1849517835
Total Pages : 500 pages
Book Rating : 4.8/5 (495 download)

DOWNLOAD NOW!

Book Synopsis Mastering OpenCV with Practical Computer Vision Projects by : Daniel Lélis Baggio

Download or read book Mastering OpenCV with Practical Computer Vision Projects written by Daniel Lélis Baggio and published by Packt Publishing Ltd. This book was released on 2012-12-03 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

OpenCV By Example

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1785287079
Total Pages : 297 pages
Book Rating : 4.7/5 (852 download)

DOWNLOAD NOW!

Book Synopsis OpenCV By Example by : Prateek Joshi

Download or read book OpenCV By Example written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2016-01-22 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.

Computer Vision with OpenCV 3 and Qt5

Author : Amin Ahmadi Tazehkandi
Publisher : Packt Publishing Ltd
ISBN 13 : 1788473418
Total Pages : 475 pages
Book Rating : 4.7/5 (884 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision with OpenCV 3 and Qt5 by : Amin Ahmadi Tazehkandi

Download or read book Computer Vision with OpenCV 3 and Qt5 written by Amin Ahmadi Tazehkandi and published by Packt Publishing Ltd. This book was released on 2018-01-02 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blend the power of Qt with OpenCV to build cross-platform computer vision applications Key Features ● Start creating robust applications with the power of OpenCV and Qt combined ● Learn from scratch how to develop cross-platform computer vision applications ● Accentuate your OpenCV applications by developing them with Qt Book Description Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment. This book will teach you to develop applications with the combination of OpenCV 3 and Qt5, and how to create cross-platform computer vision applications. We’ll begin by introducing Qt, its IDE, and its SDK. Next you’ll learn how to use the OpenCV API to integrate both tools, and see how to configure Qt to use OpenCV. You’ll go on to build a full-fledged computer vision application throughout the book. Later, you’ll create a stunning UI application using the Qt widgets technology, where you’ll display the images after they are processed in an efficient way. At the end of the book, you’ll learn how to convert OpenCV Mat to Qt QImage. You’ll also see how to efficiently process images to filter them, transform them, detect or track objects as well as analyze video. You’ll become better at developing OpenCV applications. What you will learn ● Get an introduction to Qt IDE and SDK ● Be introduced to OpenCV and see how to communicate between OpenCV and Qt ● Understand how to create UI using Qt Widgets ● Learn to develop cross-platform applications using OpenCV 3 and Qt 5 ● Explore the multithreaded application development features of Qt5 ● Improve OpenCV 3 application development using Qt5 ● Build, test, and deploy Qt and OpenCV apps, either dynamically or statically ● See Computer Vision technologies such as filtering and transformation of images, detecting and matching objects, template matching, object tracking, video and motion analysis, and much more ● Be introduced to QML and Qt Quick for iOS and Android application development Who this book is for This book is for readers interested in building computer vision applications. Intermediate knowledge of C++ programming is expected. Even though no knowledge of Qt5 and OpenCV 3 is assumed, if you’re familiar with these frameworks, you’ll benefit.

OpenCV 3.0 Computer Vision with Java

Author : Daniel Lélis Baggio
Publisher : Packt Publishing Ltd
ISBN 13 : 178328398X
Total Pages : 174 pages
Book Rating : 4.7/5 (832 download)

DOWNLOAD NOW!

Book Synopsis OpenCV 3.0 Computer Vision with Java by : Daniel Lélis Baggio

Download or read book OpenCV 3.0 Computer Vision with Java written by Daniel Lélis Baggio and published by Packt Publishing Ltd. This book was released on 2015-07-30 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenCV 3.0 Computer Vision with Java is a practical tutorial guide that explains fundamental tasks from computer vision while focusing on Java development. This book will teach you how to set up OpenCV for Java and handle matrices using the basic operations of image processing such as filtering and image transforms. It will also help you learn how to use Haar cascades for tracking faces and to detect foreground and background regions with the help of a Kinect device. It will even give you insights into server-side OpenCV. Each chapter is presented with several projects that are ready to use. The functionality of these projects is found in many classes that allow developers to understand computer vision principles and rapidly extend or customize the projects for their needs.

OpenCV with Python By Example

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 178528987X
Total Pages : 296 pages
Book Rating : 4.7/5 (852 download)

DOWNLOAD NOW!

Book Synopsis OpenCV with Python By Example by : Prateek Joshi

Download or read book OpenCV with Python By Example written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2015-09-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. Style and approach This is a conversational-style book filled with hands-on examples that are really easy to understand. Each topic is explained very clearly and is followed by a programmatic implementation so that the concept is solidified. Each topic contributes to something bigger in the following chapters, which helps you understand how to piece things together to build something big and complex.

Learning Android

Author : Marko Gargenta
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449336264
Total Pages : 286 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Learning Android by : Marko Gargenta

Download or read book Learning Android written by Marko Gargenta and published by "O'Reilly Media, Inc.". This book was released on 2014-01-09 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to build apps for Android devices? This book is the perfect way to master the fundamentals. Written by experts who have taught this mobile platform to hundreds of developers in large organizations and startups alike, this gentle introduction shows experienced object-oriented programmers how to use Android’s basic building blocks to create user interfaces, store data, connect to the network, and more. Throughout the book, you’ll build a Twitter-like application, adding new features with each chapter. You’ll also create your own toolbox of code patterns to help you program any type of Android application with ease. Become familiar with the Android platform and how it fits into the mobile ecosystem Dive into the Android stack, including its application framework and the APK application package Learn Android’s building blocks: Activities, Intents, Services, Content Providers, and Broadcast Receivers Create basic Android user interfaces and organize UI elements in Views and Layouts Build a service that uses a background process to update data in your application

Professional Android 4 Application Development

Author : Reto Meier
Publisher : John Wiley & Sons
ISBN 13 : 1118237226
Total Pages : 866 pages
Book Rating : 4.1/5 (182 download)

DOWNLOAD NOW!

Book Synopsis Professional Android 4 Application Development by : Reto Meier

Download or read book Professional Android 4 Application Development written by Reto Meier and published by John Wiley & Sons. This book was released on 2012-04-05 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developers, build mobile Android apps using Android 4 The fast-growing popularity of Android smartphones and tablets creates a huge opportunities for developers. If you're an experienced developer, you can start creating robust mobile Android apps right away with this professional guide to Android 4 application development. Written by one of Google's lead Android developer advocates, this practical book walks you through a series of hands-on projects that illustrate the features of the Android SDK. That includes all the new APIs introduced in Android 3 and 4, including building for tablets, using the Action Bar, Wi-Fi Direct, NFC Beam, and more. Shows experienced developers how to create mobile applications for Android smartphones and tablets Revised and expanded to cover all the Android SDK releases including Android 4.0 (Ice Cream Sandwich), including all updated APIs, and the latest changes to the Android platform. Explains new and enhanced features such as drag and drop, fragments, the action bar, enhanced multitouch support, new environmental sensor support, major improvements to the animation framework, and a range of new communications techniques including NFC and Wi-Fi direct. Provides practical guidance on publishing and marketing your applications, best practices for user experience, and more This book helps you learn to master the design, lifecycle, and UI of an Android app through practical exercises, which you can then use as a basis for developing your own Android apps.

OpenCV Essentials

Author : Oscar Deniz Suarez
Publisher : Packt Publishing Ltd
ISBN 13 : 1783984252
Total Pages : 331 pages
Book Rating : 4.7/5 (839 download)

DOWNLOAD NOW!

Book Synopsis OpenCV Essentials by : Oscar Deniz Suarez

Download or read book OpenCV Essentials written by Oscar Deniz Suarez and published by Packt Publishing Ltd. This book was released on 2014-08-25 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Head First Kotlin

Author : Dawn Griffiths
Publisher : O'Reilly Media
ISBN 13 : 1491996668
Total Pages : 483 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Head First Kotlin by : Dawn Griffiths

Download or read book Head First Kotlin written by Dawn Griffiths and published by O'Reilly Media. This book was released on 2019-02-13 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: What will you learn from this book? Head First Kotlin is a complete introduction to coding in Kotlin. This hands-on book helps you learn the Kotlin language with a unique method that goes beyond syntax and how-to manuals and teaches you how to think like a great Kotlin developer. You’ll learn everything from language fundamentals to collections, generics, lambdas, and higher-order functions. Along the way, you’ll get to play with both object-oriented and functional programming. If you want to really understand Kotlin, this is the book for you. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Kotlin uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.

OpenCV 3 Computer Vision Application Programming Cookbook

Author : Robert Laganiere
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469111
Total Pages : 464 pages
Book Rating : 4.7/5 (864 download)

DOWNLOAD NOW!

Book Synopsis OpenCV 3 Computer Vision Application Programming Cookbook by : Robert Laganiere

Download or read book OpenCV 3 Computer Vision Application Programming Cookbook written by Robert Laganiere and published by Packt Publishing Ltd. This book was released on 2017-02-09 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3 About This Book Written to the latest, gold-standard specification of OpenCV 3 Master OpenCV, the open source library of the computer vision community Master fundamental concepts in computer vision and image processing Learn about the important classes and functions of OpenCV with complete working examples applied to real images Who This Book Is For OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. What You Will Learn Install and create a program using the OpenCV library Process an image by manipulating its pixels Analyze an image using histograms Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit the image geometry in order to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques Reconstruct a 3D scene from images In Detail Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you'll also get acquainted with recent approaches in machine learning and object classification. Style and approach This book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.

Learning OpenCV

Author : Gary R. Bradski
Publisher :
ISBN 13 : 9787564116293
Total Pages : 555 pages
Book Rating : 4.1/5 (162 download)

DOWNLOAD NOW!

Book Synopsis Learning OpenCV by : Gary R. Bradski

Download or read book Learning OpenCV written by Gary R. Bradski and published by . This book was released on 2008 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: 本书介绍了计算机视觉,例证了如何迅速建立使计算机能“看”的应用程序,以及如何基于计算机获取的数据作出决策.

Android Application Programming with OpenCV

Author : Joseph Howse
Publisher : Packt Publishing Ltd
ISBN 13 : 1849695210
Total Pages : 195 pages
Book Rating : 4.8/5 (496 download)

DOWNLOAD NOW!

Book Synopsis Android Application Programming with OpenCV by : Joseph Howse

Download or read book Android Application Programming with OpenCV written by Joseph Howse and published by Packt Publishing Ltd. This book was released on 2013-09-25 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step tutorial to help you master computer vision and mobile app development.This book is for Java developers who are new to computer vision and who would like to learn about how it is used in relation to application development. It is assumed that you have previous experience in Java, but not necessarily Android. A basic understanding of image data (for example pixels and color channels) would be helpful too. You are expected to have a mobile device running Android 2.2 (Froyo) or greater and it must have a camera.

Hands-On Image Processing with Python

Author : Sandipan Dey
Publisher : Packt Publishing Ltd
ISBN 13 : 178934185X
Total Pages : 483 pages
Book Rating : 4.7/5 (893 download)

DOWNLOAD NOW!

Book Synopsis Hands-On Image Processing with Python by : Sandipan Dey

Download or read book Hands-On Image Processing with Python written by Sandipan Dey and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key FeaturesPractical coverage of every image processing task with popular Python librariesIncludes topics such as pseudo-coloring, noise smoothing, computing image descriptorsCovers popular machine learning and deep learning techniques for complex image processing tasksBook Description Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing. What you will learnPerform basic data pre-processing tasks such as image denoising and spatial filtering in PythonImplement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in PythonDo morphological image processing and segment images with different algorithmsLearn techniques to extract features from images and match imagesWrite Python code to implement supervised / unsupervised machine learning algorithms for image processingUse deep learning models for image classification, segmentation, object detection and style transferWho this book is for This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.

OpenCV 3 Blueprints

Author : Joseph Howse
Publisher : Packt Publishing Ltd
ISBN 13 : 1784391425
Total Pages : 382 pages
Book Rating : 4.7/5 (843 download)

DOWNLOAD NOW!

Book Synopsis OpenCV 3 Blueprints by : Joseph Howse

Download or read book OpenCV 3 Blueprints written by Joseph Howse and published by Packt Publishing Ltd. This book was released on 2015-11-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 Familiarize yourself with multiple approaches and theories wherever critical decisions need to be made Who This Book Is For This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, more complex, and more practical than the competition. This is an advanced book intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You should be comfortable with computer vision concepts, object-oriented programming, graphics programming, IDEs, and the command line. What You Will Learn Select and configure camera systems to see invisible light, fast motion, and distant objects Build a “camera trap”, as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build a panorama Android application using the OpenCV stitching module in C++ with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse style videos In Detail Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move beyond their first experiments in computer vision, developers may struggle to ensure that their solutions are sufficiently well optimized, well trained, robust, and adaptive in real-world conditions. With sufficient knowledge of OpenCV, these developers will have enough confidence to go about creating projects in the field of computer vision. This book will help you tackle increasingly challenging computer vision problems that you may face in your careers. It makes use of OpenCV 3 to work around some interesting projects. Inside these pages, you will find practical and innovative approaches that are battle-tested in the authors' industry experience and research. Each chapter covers the theory and practice of multiple complementary approaches so that you will be able to choose wisely in your future projects. You will also gain insights into the architecture and algorithms that underpin OpenCV's functionality. We begin by taking a critical look at inputs in order to decide which kinds of light, cameras, lenses, and image formats are best suited to a given purpose. We proceed to consider the finer aspects of computational photography as we build an automated camera to assist nature photographers. You will gain a deep understanding of some of the most widely applicable and reliable techniques in object detection, feature selection, tracking, and even biometric recognition. We will also build Android projects in which we explore the complexities of camera motion: first in panoramic image stitching and then in video stabilization. By the end of the book, you will have a much richer understanding of imaging, motion, machine learning, and the architecture of computer vision libraries and applications! Style and approach This book covers a combination of theory and practice. We examine blueprints for specific projects and discuss the principles behind these blueprints, in detail.