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The Computer Vision Workshop

You're reading from   The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800201774
Length 568 pages
Edition 1st Edition
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Authors (3):
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Nikhil Singh Nikhil Singh
Author Profile Icon Nikhil Singh
Nikhil Singh
Hafsa Asad Hafsa Asad
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Hafsa Asad
Vishwesh Ravi Shrimali Vishwesh Ravi Shrimali
Author Profile Icon Vishwesh Ravi Shrimali
Vishwesh Ravi Shrimali
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Toc

Introduction

If you've ever seen a "behind-the-scenes" video of your favorite Hollywood movie, you might have noticed that some of the animated scenes are shot in front of a green screen. Then, during editing, the green screen is replaced with a mind-blowing futuristic vista or a dystopian scene that's beyond your wildest imagination.

Now, think of one single frame from that scene in the movie. The original frame was shot in front of a green background. Then, the image was modified to obtain a particular result, that is, a different background.

Furthermore, sometimes, you want to process an image to directly obtain the result you seek so that you can receive an intermediate result that will make further steps easier and achievable. The following is a sample picture that was taken in front of the green screen:

Figure 2.1: A picture taken in front of a green screen

Figure 2.1: A picture taken in front of a green screen

This activity of modifying or processing an image to obtain a particular result is known as image processing.

In the previous chapter, we went over the basics of images – what pixels are, what pixel coordinates are, how to extract pixel values using pixel coordinates, and more. We'll start this chapter by understanding what we mean by image processing and why we need it. By the end of this chapter, you will be able to process images such as the one shown previously and replace the green screen with a background of your choice using a very basic image processing technique referred to as masking.

This chapter can be broken down into two major parts. First, we will focus on basic techniques, such as translation, rotation, resizing, and cropping, and a more general geometric transformation called affine transformation. We will end the section by looking at perspective transformation. Then, we will discuss binary images and arithmetic operations that we can carry out on images. We will also talk about masking in this section.

Both sections will be accompanied by exercises and activities that you can try to complete. Now, let's start with the first section of this chapter – Geometric Transformations.

You have been reading a chapter from
The Computer Vision Workshop
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781800201774
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