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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

By : Kapur, Nisarg Thakkar
4.5 (4)
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Mastering OpenCV Android Application Programming

Mastering OpenCV Android Application Programming

4.5 (4)
By: 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
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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
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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
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Index
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Index

Chapter 1. Applying Effects to Images

Generally, an image contains more information than required for any particular task. For this reason, we need to preprocess the images so that they contain only as much information as required for the application, thereby reducing the computing time needed.

In this chapter, we will learn about the different preprocessing operations, which are as follows:

  • Blurring
  • De-noising
  • Sharpening
  • Erosion and dilation
  • Thresholding and adaptive thresholding

At the end of this chapter, we will see how you can integrate OpenCV into your existing Android applications.

Before we take a look at the various feature detection algorithms and their implementations, let's first build a basic Android application to which we will keep adding feature detection algorithms, as we go through this chapter.

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Mastering OpenCV Android Application Programming
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