Image Segmentation Tutorial

Version 1.7.0.0 (10,7 ko) par Image Analyst
Image Processing Tutorial to demonstrate the basic concepts to beginner users.
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Mise à jour 14 mars 2022

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Perfect for the beginner, this demo illustrates simple object detection (segmentation, feature extraction), measurement of various characteristics (area, etc.), and filtering (extracting only certain objects).
First it finds all the objects (coins), then filters results to pick out objects of certain diameters. The basic concepts of thresholding, labeling, and regionprops are demonstrated with a simple example.
It's a good tutorial for those users new to MATLAB's image processing capabilities to learn on, before they go on to more sophisticated algorithms.
Requires the Image Processing Toolbox because it demonstrates some functions supplied by that toolbox, plus it uses the "coins" demo image supplied with that toolbox.
Tested with R2008b through R2022a.

Citation pour cette source

Image Analyst (2024). Image Segmentation Tutorial (https://www.mathworks.com/matlabcentral/fileexchange/25157-image-segmentation-tutorial), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2022a
Compatible avec les versions R2008b et ultérieures
Plateformes compatibles
Windows macOS Linux

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Version Publié le Notes de version
1.7.0.0

Better comments. Now blobs are labeled with the label number. Made sure it runs with r2022a.
1.6.0.0

Updated for R2015a.
1.5.0.0

Renamed main title and altered description slightly.
1.4.0.0

Spelling correction in the description.
1.3.0.0

Updated description and made change to how labeled image is displayed.
1.1.0.0

Added label numbers to each blob. Extracted each blob to a separate image.
1.0.0.0