Demos from Image Processing Webinar 2006
These demos were used in the Image Webinar recorded on January 19th, 2006
Ahora está siguiendo esta publicación
- Verá actualizaciones en las notificaciones de contenido en seguimiento.
- Podrá recibir correos electrónicos, en función de las preferencias de comunicación que haya establecido.
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.
Citar como
Bruce Tannenbaum (2026). Demos from Image Processing Webinar 2006 (https://es.mathworks.com/matlabcentral/fileexchange/9934-demos-from-image-processing-webinar-2006), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspirado por: hline and vline, Thresholding Tool
Categorías
Más información sobre Get Started with Image Processing Toolbox en Help Center y MATLAB Answers.
Información general
- Versión 1.2.0.1 (26,7 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
