Image Segmentation Tutorial
버전 1.7.0.0 (10.7 KB) 작성자:
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.
인용 양식
Image Analyst (2026). Image Segmentation Tutorial (https://kr.mathworks.com/matlabcentral/fileexchange/25157-image-segmentation-tutorial), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
개발 환경:
R2022a
R2008b 이상 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
- 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 및 MATLAB Answers에서 Image Thresholding에 대해 자세히 알아보기
태그
도움
도움 준 파일: Cell_Analyzer, SimpleColorDetectionByHue(), Image segmentation using fast fuzzy c-means clusering, M-code for leaf identification
| 버전 | 게시됨 | 릴리스 정보 | |
|---|---|---|---|
| 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 |
