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  • Book Overview & Buying Mastering OpenCV Android Application Programming
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

By : Salil Kapur, Nisarg Thakkar
4.5 (4)
Buy this Book
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

4.5 (4)
By: Salil Kapur, Nisarg Thakkar
Buy this Book

Overview of this book

If you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Applying Effects to Images
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1. Applying Effects to Images
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Getting started
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Setting up OpenCV
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Storing images in OpenCV
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Linear filters in OpenCV
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Summary
2
2. Detecting Basic Features in Images
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2. Detecting Basic Features in Images
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Creating our application
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Edge and Corner detection
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Hough transformations
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Contours
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Project – detecting a Sudoku puzzle in an image
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Summary
3
3. Detecting Objects
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3. Detecting Objects
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What are features?
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Scale Invariant Feature Transform
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Matching features and detecting objects
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Speeded Up Robust Features
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Oriented FAST and Rotated BRIEF
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Binary Robust Invariant Scalable Keypoints
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Fast Retina Keypoint
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Summary
4
4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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4. Drilling Deeper into Object Detection – Using Cascade Classifiers
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An introduction to cascade classifiers
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Face detection using the cascade classifier
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HOG descriptors
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Project – Happy Camera
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Summary
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5. Tracking Objects in Videos
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5. Tracking Objects in Videos
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Optical flow
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Image pyramids
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Basic 2D transformations
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Global motion estimation
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The Kanade-Lucas-Tomasi tracker
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Summary
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6. Working with Image Alignment and Stitching
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6. Working with Image Alignment and Stitching
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Image stitching
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Summary
7
7. Bringing Your Apps to Life with OpenCV Machine Learning
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7. Bringing Your Apps to Life with OpenCV Machine Learning
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Optical Character Recognition
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Solving a Sudoku puzzle
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Summary
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8. Troubleshooting and Best Practices
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8. Troubleshooting and Best Practices
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Troubleshooting errors
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Best practices
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Summary
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9. Developing a Document Scanning App
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9. Developing a Document Scanning App
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Let's begin
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The algorithm
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Implementing on Android
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Summary
10
Index
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Index

Creating our application

Let's create a very basic Android application that will read images from your phone's gallery and display them on the screen using the ImageView control. The application will also have a menu option to open the gallery to choose an image.

We will start off by creating a new Eclipse (or an Android Studio) project with a blank activity, and let's call our application Features App.

Note

Before doing anything to the application, initialize OpenCV in your application (refer to Chapter 1, Applying Effects to Images, on how to initialize OpenCV in an Android project).

To the blank activity, add an ImageView control (used to display the image), as shown in the following code snippet:

<ImageView
        android:layout_width="fill_parent"
        android:layout_height="fill_parent"
        android:id="@+id/image_view"
        android:visibility="visible"/>

In the application menu, add an OpenGallery menu option to open the phone's gallery and help us pick an image. For this...

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Mastering OpenCV Android Application Programming
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