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Hands-On Image Processing with Python

You're reading from   Hands-On Image Processing with Python Expert techniques for advanced image analysis and effective interpretation of image data

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343731
Length 492 pages
Edition 1st Edition
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Getting Started with Image Processing FREE CHAPTER 2. Sampling, Fourier Transform, and Convolution 3. Convolution and Frequency Domain Filtering 4. Image Enhancement 5. Image Enhancement Using Derivatives 6. Morphological Image Processing 7. Extracting Image Features and Descriptors 8. Image Segmentation 9. Classical Machine Learning Methods in Image Processing 10. Deep Learning in Image Processing - Image Classification 11. Deep Learning in Image Processing - Object Detection, and more 12. Additional Problems in Image Processing 1. Other Books You May Enjoy Index

Chapter 1. Getting Started with Image Processing

As the name suggests, image processing can simply be defined as the processing (analyzing and manipulating) of images withalgorithms in a computer (through code). It has a few different aspects, such as storage, representation, information extraction, manipulation, enhancement, restoration, and interpretation of images. In this chapter, we are going to give a basic introduction to all of these different aspects of image processing, along with an introduction to hands-on image processing with Python libraries. We are going to use Python 3 for all of the code samples in this book.

We will start by defining what image processing is and what the applications of image processing are. Then we will learn about the basic image processing pipeline—in other words, what are the steps to process an image on a computer in general. Then, we will learn about different Python libraries available for image processing and how to install them in Python 3. Next, we will learn how to write Python codes to read and write (store) images on a computer using different libraries. After that, we will learn the data structures that are to be used to represent an image in Python and how to display an image. We will also learn different image types and different image file formats, and, finally, how to do basic image manipulations in Python.

By the end of this chapter, we should be able to conceptualize image processing, different steps, and different applications. We should be able to import and call functions from different image processing libraries in Python. We should be able to understand the data structures used to store different types of images in Python, read/write image files using different Python libraries, and write Python code to do basic image manipulations. The topics to be covered in this chapter are as follows:

  • What image processing is and some image processing applications
  • The image processing pipeline
  • Setting up different image processing libraries in Python
  • Image I/O and display with Python
  • Image types, file formats, and basic image manipulations
You have been reading a chapter from
Hands-On Image Processing with Python
Published in: Nov 2018
Publisher: Packt
ISBN-13: 9781789343731
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