Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By : David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi
Book Image

Learn OpenCV 4 By Building Projects - Second Edition

By: David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi

Overview of this book

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Table of Contents (14 chapters)

Automated Optical Inspection, Object Segmentation, and Detection

In Chapter 4, Delving into Histogram and Filters, we learned about histograms and filters, which allow us to understand image manipulation and create a photo application.

In this chapter, we are going to introduce the basic concepts of object segmentation and detection. This means isolating the objects that appear in an image for future processing and analysis.

This chapter introduces the following topics:

  • Noise removal
  • Light/background removal basics
  • Thresholding
  • Connected components for object segmentation
  • Finding contours for object segmentation

Many industries use complex computer vision systems and hardware. Computer vision tries to detect problems and minimize errors produced in the production process, improving the quality of final products.

In this sector, the name for this computer vision task is Automated...