OpenCV Android Programming By Example电子书

OpenCV Android Programming By Example

Table of Contents

OpenCV Android Programming By Example

Credits

About the Author

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions


1. Getting Yourself Ready

Installing Tegra Android Development Pack

Downloading and installing TADP

TADP post-installation configuration

Installing emulator system images

Configuring Eclipse to work with NDK

NDK verification

Installing the OpenCV and Android development environment manually

Java SE Development Kit 6

Android Studio

Android SDK

Eclipse IDE

ADT and CDT plugins for Eclipse

Android NDK

Downloading Android NDK

Installing and configuring Android NDK

Building native code using Eclipse

OpenCV4Android SDK

Understanding how NDK works

An overview of NDK

A simple example of NDK

Android.mk

Building your first Android project with OpenCV

HelloVisionWorld Android application

Creating a project in Eclipse

Creating a project in Android Studio

Summary

2. App 1 - Building Your Own Darkroom

Digital images

Color spaces

The Mat class

Basic Mat operations

Processing the images stored on your phone

Loading an image to a Mat object

UI definitions

Reading an image using OpenCV

Calculating an image histogram

What are histograms?

Understanding histogram components

UI definitions

Calculating an image histogram

Enhancing the image contrast

Understanding histogram equalization

Enhancing grayscale images

UI definitions

Converting an image to grayscale

Equalizing a histogram for a grayscale image

Enhancing an HSV image

UI definitions

Equalizing a histogram for the image saturation and value

Enhancing an RGB image

UI definitions

Equalizing a histogram for the image color channels

Summary

3. App 2 - Software Scanner

Spatial filtering

Understanding convolution and linear filtering

Removing noise

The averaging filter

The Gaussian filter

The median filter

UI definitions

Applying filters to reduce image noise

Finding edges

The Sobel edge detector

The Canny edge detector

UI definitions

Applying the Sobel filter to find edges

Using the Canny edge detector

Detecting shapes

Understanding the Hough line transform

Detecting lines using Hough transform

UI definitions

Detecting and drawing lines

Detecting circles using Hough transform

UI definitions

Detecting and drawing circles

Summary

4. App 2 - Applying Perspective Correction

Image transformations and perspective correction

Translation

Rotation and translation

Scaled rotation

Affine

Perspective transformation

Rigid perspective correction

UI definitions

Estimating the perspective transformation using the object bounding box

Flexible perspective correction

UI definitions

Applying flexible perspective correction

Manual perspective correction

UI definitions

Selecting the corners manually

Summary

5. App 3 - Panoramic Viewer

Image features

Feature detectors

Understanding the Harris corner detector

UI definitions

Using the Harris corner detector

Calling a native Harris corner detector

Using the native OpenCV library within Eclipse

Using the native OpenCV library within Android Studio

Working on the native part

Understanding the FAST corner detector

UI definitions

Using the FAST corner detector

Using native FAST

Understanding the ORB feature detector

UI definitions

Using the ORB feature detector

Using native ORB

Feature description and matching

Understanding BRIEF and ORB feature descriptors

Understanding the BRISK feature descriptor

Understanding the FREAK feature descriptor

Matching the features

Working with feature matching

UI definitions

Finding an object in a scene

Native feature matching

UI definitions

The native matching process

Stitching two images

UI definitions

The native stitcher

Summary

6. App 4 – Automatic Selfie

Cascade classifiers

Haar-like features

The integral image

Adaptive Boosting

Cascading

Using cascade classifiers to detect objects

Accessing your phone's camera using OpenCV

A camera preview

UI definitions

Previewing the camera frames

Detecting closed palms in the camera frames

Using the Java-based cascade classifier

Summary

Index