Region Growing (2D/3D grayscale)
A recursive region growing algorithm for 2D and 3D grayscale image sets with polygon and binary mask output. The main purpose of this function lies on clean and highly documented code.
Usage:
[P, J] = regionGrowing(cIM, initPos, thresVal, maxDist, tfMean, tfFillHoles, tfSimplify)
Inputs:
- cIM: 2D/3D grayscale matrix
- initPos: Coordinates for initial seed position
- thresVal: Absolute threshold level to be included
- maxDist: Maximum distance to the initial position in [px]
- tfMean: Updates the initial value to the region mean (slow)
- tfFillHoles: Fills enclosed holes in the binary mask
- tfSimplify: Reduces the number of vertices with line simplification
Outputs:
- P: VxN array (with V number of vertices, N number of dimensions). P is the enclosing polygon for all associated pixel/voxel
- J: Binary mask (with the same size as the input image) indicating 1 (true) for associated pixel/voxel and 0 (false) for being outside
Citation pour cette source
Daniel (2024). Region Growing (2D/3D grayscale) (https://www.mathworks.com/matlabcentral/fileexchange/32532-region-growing-2d-3d-grayscale), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Region and Image Properties >
Tags
Remerciements
Inspiré par : Region Growing, Line Simplification
A inspiré : Region Growing (2D/3D) in C
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Version | Publié le | Notes de version | |
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1.5.0.0 | some cosmetic changes, attached example.mat |
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1.0.0.0 |