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Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

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Digital Image Processing (+ Computer Vision)

General Information

  • Author: Nicholas Dominic
  • Programming Language: Python 3.7.1 and R-Language 4.0.1
  • Environment (IDE): Jupyter Notebook and R-Studio

Frequently Ask Questions (FAQ)

  • Can I copy all or some of your works?
    >> You can, by specifying author's name as condition. Or simply do GitHub's fork from my repository.
  • I can't open your .ipynb file, how to resolve the issue?
    >> Copy the url (with .ipynb extension) and paste it to this website.
  • May I commit a change in your code?
    >> You may. But only reliable changes will acquire my acceptance, as soon as possible.

Contents

The unmarked (active) content denotes unfinished development of codes (still on progress).
Feel free to give suggestions (through contact I attached below) about what topic should I discover more.
All references or development resources are credited on each notebook.

Gradual Phases of Digital Image Processing

  • Image Acquisition
  • Image Enhancement / Restoration
  • Color Image Processing
  • Multiresolution Processing
  • Image Compression
  • Morphological Processing
  • Image Segmentation
  • Representation and Description
  • Object Detection (Image Matching)

Computer Vision

  • Objects Detection
  • Face Detection
  • Facial Expression Recognition

Author Detail Information

NICHOLAS DOMINIC

Do me a favor to share my works and freely contact me for further recognition. Have a great rest of your day!

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Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

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