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Hands-On Computer Vision with Julia

You're reading from   Hands-On Computer Vision with Julia Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998796
Length 202 pages
Edition 1st Edition
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Author (1):
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Dmitrijs Cudihins Dmitrijs Cudihins
Author Profile Icon Dmitrijs Cudihins
Dmitrijs Cudihins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with JuliaImages FREE CHAPTER 2. Image Enhancement 3. Image Adjustment 4. Image Segmentation 5. Image Representation 6. Introduction to Neural Networks 7. Using Pre-Trained Neural Networks 8. OpenCV 9. Assessments
10. Other Books You May Enjoy

Summary

In this chapter, we have learned to simplify images and change their representation into something that is much easier to analyze, using a different set of algorithms available in the ImageSegmentation package. These algorithms include, but are not limited to, the seeded region growing technique, the Felzenszwalb algorithm, and the fast scanning algorithm. We have also learned how to use helper functions to extract additional information, such as retrieving segment labels, size, and mean intensity values.

In the next chapter, we will be looking at how to proceed with detailed feature extraction from images. This will be used in image grouping and comparison.

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