Unsupervised Texture Segmentation via Applying Geodesic Active Regions to Gaborian Feature Space

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Summary

A novel variational method for unsupervised texture segmentation using a Gabor filter bank to extract texture features and a framework of geodesic active regions is applied based on them.

Type
article
Published
2007-03-01
Cited by
9
References
20
Access
Open access

Keywords

Geodesic, Artificial intelligence, Segmentation, Pattern recognition (psychology), Texture (cosmology)

References

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