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Masking an image locally, based on mouse-defined 'seed points' and selecting connected areas including the seed points. Two-level thresholding provides noise-robustness.

nurlicht/Noise-Robust-Flood-Fill

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Noise-Robust-Flood-Fill

Masking an image locally, based on mouse-defined 'seed points' and selecting connected areas including the seed points. Two-level thresholding provides noise-robustness.

Contributors:
1. Holger Lorenz (h.lorenz@zmbh.uni-heidelberg.de)
Project definition and tests
2. Aliakbar Jafarpour (jafarpour.a.j@ieee.org)
Design, implementation, and test of the program (OOA/OOD/OOP)

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Masking an image locally, based on mouse-defined 'seed points' and selecting connected areas including the seed points. Two-level thresholding provides noise-robustness.

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