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Hands-On Image Processing with Python

You're reading from  Hands-On Image Processing with Python

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343731
Pages 492 pages
Edition 1st Edition
Languages
Author (1):
Sandipan Dey Sandipan Dey
Profile icon Sandipan Dey

Table of Contents (20) Chapters

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Getting Started with Image Processing Sampling, Fourier Transform, and Convolution Convolution and Frequency Domain Filtering Image Enhancement Image Enhancement Using Derivatives Morphological Image Processing Extracting Image Features and Descriptors Image Segmentation Classical Machine Learning Methods in Image Processing Deep Learning in Image Processing - Image Classification Deep Learning in Image Processing - Object Detection, and more Additional Problems in Image Processing Other Books You May Enjoy Index

Summary


In this chapter, we first provided a basic introduction to image processing and basic concepts regarding the problems that we try to solve in image processing. We then discussed different tasks and steps with image processing, and the leading image processing libraries in Python, which we are going to use for coding in this book. Next, we talked about how to install different libraries for image processing in Python, and how to import them and call the functions from the modules. We also covered basic concepts about image types, file formats, and data structures to store image data with different Python libraries. Then, we discussed how to perform image I/O and display in Python using different libraries. Finally, we discussed how to perform basic image manipulations with different Python libraries. In the next chapter, we will deep dive into sampling, quantization, convolution, the Fourier transform, and frequency domain filtering on images.

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Hands-On Image Processing with Python
Published in: Nov 2018 Publisher: Packt ISBN-13: 9781789343731
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