Learning Image Processing with OpenCV by Garcia, Gloria Bueno -- Read -- Imperial Library of Trantor

Index

Learning Image Processing with OpenCV

Table of Contents Learning Image Processing with OpenCV Credits About the Authors About the Reviewers www.PacktPub.com

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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. Handling Image and Video Files

An introduction to OpenCV Downloading and installing OpenCV

Getting a compiler and setting CMake Configuring OpenCV with CMake Compiling and installing the library

The structure of OpenCV Creating user projects with OpenCV

General usage of the library Tools to develop new projects Creating an OpenCV C++ program with Qt Creator

Reading and writing image files

The basic API concepts Image file-supported formats The example code

Reading image files Event handling into the intrinsic loop Writing image files

Reading and writing video files

The example code

User-interactions tools

Trackbars Mouse interaction Buttons Drawing and displaying text

Summary

2. Establishing Image Processing Tools

Basic data types Pixel-level access Measuring the time Common operations with images Arithmetic operations Data persistence Histograms

The example code The example code

Summary

3. Correcting and Enhancing Images

Image filtering

Smoothing

The example code

Sharpening

The example code

Working with image pyramids

Gaussian pyramids Laplacian pyramids The example code

Morphological operations

The example code

LUTs

The example code

Geometrical transformations

Affine transformation

Scaling

The example code

Translation

The example code

Image rotation

The example code

Skewing

The example code

Reflection

The example code

Perspective transformation

The example code

Inpainting

The example code

Denoising

The example code

Summary

4. Processing Color

Color spaces

Conversion between color spaces (cvtColor)

RGB

The example code

Grayscale

Example code

CIE XYZ

The example code

YCrCb

The example code

HSV

The example code

HLS

The example code

CIE L*a*b*

The example code

CIE L*u*v*

The example code

Bayer

The example code

Color-space-based segmentation

HSV segmentation YCrCb segmentation

Color transfer

The example code

Summary

5. Image Processing for Video

Video stabilization Superresolution Stitching Summary

6. Computational Photography

High-dynamic-range images

Creating HDR images

Example

Tone mapping Alignment Exposure fusion

Seamless cloning Decolorization Non-photorealistic rendering Summary

7. Accelerating Image Processing

OpenCV with the OpenCL installation

A quick recipe to install OpenCV with OpenCL Check the GPU usage

Accelerating your own functions

Checking your OpenCL

The code explanation

Your first GPU-based program

The code explanation

Going real time

The code explanation The performance

Summary

Index

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