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  • Book Overview & Buying OpenCV Android Programming By Example
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OpenCV Android Programming By Example

OpenCV Android Programming By Example

By : Amgad Muhammad
4 (1)
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OpenCV Android Programming By Example

OpenCV Android Programming By Example

4 (1)
By: Amgad Muhammad
Buy this Book

Overview of this book

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.
Table of Contents (8 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. Getting Yourself Ready
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1. Getting Yourself Ready
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Installing Tegra Android Development Pack
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Installing the OpenCV and Android development environment manually
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Understanding how NDK works
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Building your first Android project with OpenCV
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Summary
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2. App 1 - Building Your Own Darkroom
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2. App 1 - Building Your Own Darkroom
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Digital images
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Processing the images stored on your phone
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Calculating an image histogram
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Enhancing the image contrast
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Summary
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3. App 2 - Software Scanner
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3. App 2 - Software Scanner
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Spatial filtering
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Detecting shapes
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Summary
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4. App 2 - Applying Perspective Correction
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4. App 2 - Applying Perspective Correction
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Image transformations and perspective correction
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Rigid perspective correction
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Flexible perspective correction
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Manual perspective correction
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Summary
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5. App 3 - Panoramic Viewer
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5. App 3 - Panoramic Viewer
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Image features
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Summary
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6. App 4 – Automatic Selfie
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6. App 4 – Automatic Selfie
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Cascade classifiers
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Using cascade classifiers to detect objects
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Summary
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Index
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Index

Chapter 1. Getting Yourself Ready

In this chapter, I will explain, in a step-by-step fashion, how to start using OpenCV to develop vision-aware Android applications.

The Open Source Computer Vision (OpenCV) software library has over 2,500 optimized algorithms; the library includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has been around for a decade and released under the Berkeley Software Distribution (BSD) license, making it easy for users to utilize and modify the code.

OpenCV is downloaded over seven million times and used by well-established companies such as Google, Yahoo, Microsoft, Intel, IBM, Sony, and Honda. Moreover, OpenCV supports several desktop and mobile operating systems including Windows, Linux, Mac OS X, Android, and iOS.

In this book, we will work with OpenCV for Android, which is a part of OpenCV that runs on the Android operating system.

I'll be covering two scenarios for the installation and to get ready; first, if you are starting a clean installation for Android, it is recommended that you start with Tegra Android Development Pack (TADP). The other scenario is a manual setup of every component needed to run Android with OpenCV. You would probably go with this option if you already have a previous installation of the Android development environment. We will cover the following topics:

  • Installing Tegra Android Development Pack
  • Installing the OpenCV and Android development environment manually
  • Understanding how Native Development Kit (NDK) works
  • Building your first Android project with OpenCV
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CONTINUE READING
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Tech Concepts
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Programming languages
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OpenCV Android Programming By Example
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