Learning Image Processing with OpenCV

Exploit the amazing features of OpenCV to create powerful image processing applications through easy-to-follow examples

Learning Image Processing with OpenCV

Learning
Gloria Bueno García et al.

2 customer reviews
Exploit the amazing features of OpenCV to create powerful image processing applications through easy-to-follow examples
$35.99
$44.99
RRP $35.99
RRP $44.99
eBook
Print + eBook

Instantly access this course right now and get the skills you need in 2017

With unlimited access to a constantly growing library of over 4,000 eBooks and Videos, a subscription to Mapt gives you everything you need to get that next promotion or to land that dream job. Cancel anytime.

Free Sample

Book Details

ISBN 139781783287659
Paperback232 pages

Book Description

OpenCV, arguably the most widely used computer vision library, includes hundreds of ready-to-use imaging and vision functions and is used in both academia and enterprises.

This book provides an example-based tour of OpenCV's main image processing algorithms. Starting with an exploration of library installation, wherein the library structure and basics of image and video reading/writing are covered, you will dive into image filtering and the color manipulation features of OpenCV with LUTs. You'll then be introduced to techniques such as inpainting and denoising to enhance images as well as the process of HDR imaging. Finally, you'll master GPU-based accelerations. By the end of this book, you will be able to create smart and powerful image processing applications with ease! All the topics are described with short, easy-to-follow examples.

Table of Contents

Chapter 1: Handling Image and Video Files
An introduction to OpenCV
Downloading and installing OpenCV
The structure of OpenCV
Creating user projects with OpenCV
Reading and writing image files
Reading and writing video files
User-interactions tools
Summary
Chapter 2: Establishing Image Processing Tools
Basic data types
Pixel-level access
Measuring the time
Common operations with images
Arithmetic operations
Data persistence
Histograms
Summary
Chapter 3: Correcting and Enhancing Images
Image filtering
Morphological operations
LUTs
Geometrical transformations
Inpainting
Denoising
Summary
Chapter 4: Processing Color
Color spaces
Color-space-based segmentation
Color transfer
Summary
Chapter 5: Image Processing for Video
Video stabilization
Superresolution
Stitching
Summary
Chapter 6: Computational Photography
High-dynamic-range images
Seamless cloning
Decolorization
Non-photorealistic rendering
Summary
Chapter 7: Accelerating Image Processing
OpenCV with the OpenCL installation
Accelerating your own functions
Summary

What You Will Learn

  • Create OpenCV programs with rich user interfaces
  • Grasp basic concepts and tasks in image processing such as image types, pixel access techniques, and arithmetic operations with images and histograms
  • Explore useful image processing techniques such as filtering, smoothing, sharpening, denoising, morphology, and geometrical transformations
  • Get to know handy algorithms such as inpainting and LUTs
  • Leverage the color manipulation features of OpenCV to optimize image processing
  • Discover how to process a video and the main techniques involved such as stabilization, stitching, and even superresolution
  • Understand the new computational photography module that covers high-dynamic range imaging, seamless cloning, decolorization, and non-photorealistic rendering

Authors

Table of Contents

Chapter 1: Handling Image and Video Files
An introduction to OpenCV
Downloading and installing OpenCV
The structure of OpenCV
Creating user projects with OpenCV
Reading and writing image files
Reading and writing video files
User-interactions tools
Summary
Chapter 2: Establishing Image Processing Tools
Basic data types
Pixel-level access
Measuring the time
Common operations with images
Arithmetic operations
Data persistence
Histograms
Summary
Chapter 3: Correcting and Enhancing Images
Image filtering
Morphological operations
LUTs
Geometrical transformations
Inpainting
Denoising
Summary
Chapter 4: Processing Color
Color spaces
Color-space-based segmentation
Color transfer
Summary
Chapter 5: Image Processing for Video
Video stabilization
Superresolution
Stitching
Summary
Chapter 6: Computational Photography
High-dynamic-range images
Seamless cloning
Decolorization
Non-photorealistic rendering
Summary
Chapter 7: Accelerating Image Processing
OpenCV with the OpenCL installation
Accelerating your own functions
Summary

Book Details

ISBN 139781783287659
Paperback232 pages
Read More
From 2 reviews

Read More Reviews