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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
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Derived operations

Opening and closing are the other two primary operators of mathematical morphology. They are both derived from the two base operations—erosion and dilation. Like those functions, they are normally used on binary or grayscale images.

From a technical perspective, opening and closing can be described in the following ways:

  • Opening: This is the dilation of the erosion
  • Closing: This is the erosion of the dilation

It is essential to note that erosion is not the inverse of dilation. In general, eroding and dilating produces an image different than the original, and identical results are created by chance.

As with base morphological operators, the exact operation is determined by a structuring element, which in Julia is fixed to a 3x3 block.

Image opening

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