Image Segmentation Tutorial
バージョン 1.7.0.0 (10.7 KB) 作成者:
Image Analyst
Image Processing Tutorial to demonstrate the basic concepts to beginner users.
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.
引用
Image Analyst (2026). Image Segmentation Tutorial (https://jp.mathworks.com/matlabcentral/fileexchange/25157-image-segmentation-tutorial), MATLAB Central File Exchange. に取得済み.
MATLAB リリースの互換性
作成:
R2022a
R2008b 以降のリリースと互換性あり
プラットフォームの互換性
Windows macOS Linuxカテゴリ
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
- Image Processing and Computer Vision > Image Processing Toolbox > Get Started with Image Processing Toolbox >
Help Center および MATLAB Answers で Image Thresholding についてさらに検索
タグ
謝辞
ヒントを与えたファイル: Cell_Analyzer, SimpleColorDetectionByHue(), Image segmentation using fast fuzzy c-means clusering, M-code for leaf identification
| バージョン | 公開済み | リリース ノート | |
|---|---|---|---|
| 1.7.0.0 | Better comments. Now blobs are labeled with the label number. Made sure it runs with r2022a. |
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| 1.6.0.0 | Updated for R2015a. |
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| 1.5.0.0 | Renamed main title and altered description slightly. |
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| 1.4.0.0 | Spelling correction in the description. |
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| 1.3.0.0 | Updated description and made change to how labeled image is displayed. |
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| 1.1.0.0 | Added label numbers to each blob. Extracted each blob to a separate image. |
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| 1.0.0.0 |
