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This submission includes three demos that were presented in a phased approach in the Image Webinar recorded on January 19th, 2006.
Phase 1: We developed an algorithm to find and label broken pieces of candy in a static image (labelDefectsRGBImage.m).
Phase 2: We tested the algorithm with live images from a web camera. We added some flexibility to the original algorithm with the thresholding tool submitted to MATLAB® Central by Robert Bemis (labelDefectsLiveImage.m).
Phase 3: We used GUIDE to develop a graphical user interface that let us more easily work with live images and run the algorithm on them (shape.m and shape.fig).
I would like to thank Brian Madsen and Inpakala Simon for the contributions to this demo.
Citation pour cette source
Bruce Tannenbaum (2026). Demos from Image Processing Webinar 2006 (https://fr.mathworks.com/matlabcentral/fileexchange/9934-demos-from-image-processing-webinar-2006), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
Inspiré par : hline and vline, Thresholding Tool
Catégories
En savoir plus sur Get Started with Image Processing Toolbox dans Help Center et MATLAB Answers
Informations générales
- Version 1.2.0.1 (26,7 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.2.0.1 | Updated license |
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| 1.2.0.0 | Updated code to include copyright statements and exclude code from non-MathWorks author. |
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| 1.1.0.0 | Removed old link to webinar that is no longer on our website. |
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| 1.0.0.0 |
