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BL
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| Record Number
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856248
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| Main Entry
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Laganière, R., (Robert),1964-
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| Title & Author
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OpenCV 3 Computer Vision Application Programming Cookbook.
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| Edition Statement
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Third edition.
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| Publication Statement
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Packt Publishing,, 2017.
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| Page. NO
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1 online resource
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| ISBN
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1786469111
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: 1786469715
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: 9781786469113
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: 9781786469717
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1786469715
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| Contents
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Cover ; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Playing with Images ; Introduction; Installing the OpenCV library; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The Visualization Toolkit and the cv::viz module; The OpenCV developer site; See also; Loading, displaying, and saving images; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Clicking on images; Drawing on images; See also; Exploring the cv::Mat data structure; How to do it ... ; How it works ... ; There's more ...
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Chapter 4: Counting the Pixels with Histograms Introduction; Computing an image histogram; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Computing histograms of color images; See also; Applying look-up tables to modify the image's appearance; How to do it ... ; How it works ... ; There's more ... ; Stretching a histogram to improve the image contrast; Applying a look-up table to color images; See also; Equalizing the image histogram; How to do it ... ; How it works ... ; Backprojecting a histogram to detect specific image content; How to do it ... ; How it works ... ; There's more ...
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Comparing colors using the Strategy design patternHow to do it ... ; How it works ... ; There's more ... ; Computing the distance between two color vectors; Using OpenCV functions; The floodFill function; Functor or function object; The OpenCV base class for algorithms; See also; Segmenting an image with the GrabCut algorithm; How to do it ... ; How it works ... ; See also; Converting color representations; How to do it ... ; How it works ... ; See also; Representing colors with hue, saturation, and brightness; How to do it ... ; How it works ... ; There's more ... ; Using colors for detection -- skin tone detection; See also.
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Scanning an image with iteratorsGetting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Writing efficient image-scanning loops; How to do it ... ; How it works ... ; There's more ... ; See also; Scanning an image with neighbor access; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Performing simple image arithmetic; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Overloaded image operators; Splitting the image channels; Remapping an image; How to do it ... ; How it works ... ; See also; Chapter 3: Processing the Colors of an Image ; Introduction.
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The input and output arraysManipulating small matrices; See also; Defining regions of interest; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using image masks; See also; Chapter 2 : Manipulating Pixels; Introduction; Accessing pixel values; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The cv::Mat_ template class; See also; Scanning an image with pointers; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Other color reduction formulas; Having input and output arguments; Efficient scanning of continuous images; Low-level pointer arithmetic; See also.
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| Abstract
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Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3About 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 imagesWho This Book Is ForOpenCV 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 imagesIn DetailMaking 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 approachThis 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.
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| Subject
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Application software.
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| Subject
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C++ (Computer program language)
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Computer vision-- Programming.
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Application software.
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C++ (Computer program language)
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| Subject
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COMPUTERS-- General.
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| Dewey Classification
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006.4
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| LC Classification
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T55.4-60.8
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TA1634
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