Finding defects in texture using regularity and local orientation

Author:

Chetverikov D.,Hanbury A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

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2. S. Özdemir, A. Baykut, R. Meylani, A. Erçil, A. Ertüzün, Comparative evaluation of texture analysis algorithms for defect inspection of textile products, in: Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, Vol. 2, 1998, pp. 1738–1741.

3. Automatic detection of errors in textures using invariant grey scale features and polynomial classifiers;Schael,2000

4. Hierarchichal classification of surface defects on dusty wood boards;Kim;Pattern Recognition Lett.,1994

5. J. Iivarinen, A. Visa, An adaptive texture and shape based defect classification, in: Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, Vol. 1, 1998, pp. 117–123.

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