Example files for the Getting Started with Image Processing Video.
https://github.com/mathworks/getting-started-with-image-processing
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The Amazon Rainforest is the largest and most diverse rainforest in the world, which makes it important to protect.
Unfortunately, the rainforest has been receding due to heavy deforestation, but recent conservation efforts have slowed that rate.
See how Image Processing Toolbox is used to analyze and track deforestation in the Amazon Rainforest to see the effects of those conservation efforts in the "Getting Started with Image Processing" video:
The deforestation.mlx Live Script processes multiple satellite images of the Jamanxim National Forest taken every 4 years from 2000 to 2016.
Take a look at createMask.m - a function generated through the Color Thresholder App that turns interacting with an app into usable code.
Run the Live Script and observe the results. See if you can tweak various parts of the algorithm to get a better result.
To start, try regenerating createMask.m with a different set of thresholds or using a different color space using the Color Thresholder App.
Citation pour cette source
John Moon (2026). "Getting Started with Image Processing" example files (https://github.com/mathworks/getting-started-with-image-processing/releases/tag/v1.0.2), GitHub. Extrait(e) le .
Informations générales
- Version 1.0.2 (2,46 Mo)
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Afficher la licence sur GitHub
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2020b à R2021a
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.2 | See release notes for this release on GitHub: https://github.com/mathworks/getting-started-with-image-processing/releases/tag/v1.0.2 |
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| 1.0.1 | See release notes for this release on GitHub: https://github.com/mathworks/getting-started-with-image-processing/releases/tag/v1.0.1 |
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| 1.0.0 |
