Region Growing
Simple but effective example of "Region Growing" from a single seed point.
The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel's intensity value and the region's mean, is used as a measure of similarity. The pixel with the smallest difference measured this way is allocated to the region.
This process stops when the intensity difference between region mean and new pixel becomes larger than a certain treshold
Cite As
Dirk-Jan Kroon (2024). Region Growing (https://www.mathworks.com/matlabcentral/fileexchange/19084-region-growing), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Morphological Operations >
- Industries > Medical Devices > DICOM Format >
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Acknowledgements
Inspired: Region Growing (2D/3D grayscale), Clinic heart disease system
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Version | Published | Release Notes | |
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1.0.0.0 |