OpenCV 3 - Transforming and Filtering Images [Video]

OpenCV 3 - Transforming and Filtering Images [Video]

This video is included in a Mapt subscription
Robert Laganiere

Build computer vision applications that make the most of the popular C++ library OpenCV 3
$10.00
RRP $124.99
Access every Packt eBook & Video for just $100
 
  • 4,000+ eBooks & Videos
  • 40+ New titles a month
  • 1 Free eBook/Video to keep every month
Find Out More
 
Preview in Mapt

Video Details

ISBN 139781788296878
Course Length1 hour 17 minutes

Video Description

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even find the right colors for your redecoration.

This course provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in the image and video analysis that will enable you to build your own computer vision applications. This video helps you to get started with the library and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices.

Moving on, you will learn how to read and write images and manipulate their pixels. We’ll present different techniques for image enhancement and shape analysis. You will learn how to detect specific image features such as lines, circles, or corners. Then, you’ll be introduced to the concepts of mathematical morphology and image filtering. We describe the most recent methods for image matching and object recognition, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Next, we explain techniques to achieve camera calibration and perform a multiple-view analysis. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification.

Style and Approach

This video will arm you with the basics you need to start writing world-aware applications right from the pixel level all the way through to processing video sequences.

Table of Contents

Transforming Images with Morphological Operations
The Course Overview
Eroding and Dilating Images Using Morphological Filters
Opening and Closing Images Using Morphological Filters
Applying Morphological Operators on Gray-Level Images
Segmenting Images Using Watersheds
Extracting Distinctive Regions Using MSER
Filtering the Images
Filtering Images Using Low-Pass Filters
Downsampling Images with Filters
Filtering Images Using a Median Filter
Applying Directional Filters to Detect Edges
Computing the Laplacian of an Image
Extracting Lines, Contours, and Components
Detecting Image Contours with the Canny Operator
Detecting Lines in Images with the Hough Transform
Fitting a Line to a Set of Points
Extracting Connected Components
Computing Components' Shape Descriptors

What You Will Learn

  • Process an image by manipulating its pixels 
  • Segment images into homogenous regions and extract meaningful objects 
  • Apply image filters to enhance image content 
  • Exploit the image geometry in order to relay different views of a pictured scene

Authors

Table of Contents

Transforming Images with Morphological Operations
The Course Overview
Eroding and Dilating Images Using Morphological Filters
Opening and Closing Images Using Morphological Filters
Applying Morphological Operators on Gray-Level Images
Segmenting Images Using Watersheds
Extracting Distinctive Regions Using MSER
Filtering the Images
Filtering Images Using Low-Pass Filters
Downsampling Images with Filters
Filtering Images Using a Median Filter
Applying Directional Filters to Detect Edges
Computing the Laplacian of an Image
Extracting Lines, Contours, and Components
Detecting Image Contours with the Canny Operator
Detecting Lines in Images with the Hough Transform
Fitting a Line to a Set of Points
Extracting Connected Components
Computing Components' Shape Descriptors

Video Details

ISBN 139781788296878
Course Length1 hour 17 minutes
Read More

Read More Reviews