Abstract
Detection of structural defects in textures is addressed as a specific problem of visual texture analysis. A new approach to texture defect detection is proposed. A pilot experimental study shows that the method presented can detect structural imperfections in texture patterns of diverse origin.
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J. Amelung and K. Vogel. Automated window size determination for texture defect detection. In Proc. British Machine Vision Conference, pages 105ā114, 1994.
A. Branca, M. Tafuri, G. Attolico, and A. Distante. Directionality detection in compositional textures. In Proc. International Conf. on Pattern Recognition, pages 830ā834. Vol. II, 1996.
P. Brodatz. Textures: a photographic album for artists and designers. Dover, New York, 1966.
D. Brzakovic, H. Beck, and N. Sufi. An approach to defect detection in materials characterized by complex textures. Pattern Recognition, 23:99ā107, 1990.
D. Chetverikov. Texture imperfections. Pattern Recognition, 6:45ā50, 1987.
D. Chetverikov. Detecting defects in texture. In Proc. International Conf. on Pattern Recognition, pages 61ā63, 1988.
D. Chetverikov. Pattern orientation and texture symmetry. In Computer Analysis of Images and Patterns, pages 222ā229. Springer Lecture Notes in Computer Science vol.970, 1995.
D. Chetverikov. Structural filtering with texture feature based interaction maps: Fast algorithm and applications. In Proc. International Conf. on Pattern Recognition, pages 795ā799. Vol.II, 1996.
D. Chetverikov. Texture feature based interaction maps and structural filtering. In Proc. 20th Workshop of the Austrian Pattern Recognition Group, pages 143ā157. Oldenbourg Verlag, 1996.
D. Chetverikov and R.M. Haralick. Texture anisotropy, symmetry, regularity: Recovering structure from interaction maps. In Proc. British Machine Vision Conference, pages 57ā66, 1995.
D. Chetverikov, J. Liang, J. KƶmĆ¼ves, and R.M. Haralick. Zone classification using texture features. In Proc. International Conf. on Pattern Recognition, pages 676ā680. Vol.III, 1996.
R. M. Haralick and L. G. Shapiro. Computer and Robot Vision, volume I. Addison-Wesley, 1992.
T.S. Newman and A.K. Jain. A survey of automated visual inspection. Computer Vision and Image Understanding, 67:231ā262, 1995.
D. Sinclair. Cluster-based texture analysis. In Proc. International Conf. on Pattern Recognition, pages 825ā829. Vol.II, 1996.
K. Y. Song, M. Petrou, and J. Kittler. Texture defect detection: A review. In SPIE Applications of Artificial Intelligence X: Machine Vision and Robotics, volume 1708, pages 99ā106, 1992.
K. Y. Song, M. Petrou, and J. Kittler. Wigner based crack detection in texture images. In Fourth IEE International Conference on Image Processing and its Applications, pages 315ā318, 1992.
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Ā© 1997 Springer-Verlag Berlin Heidelberg
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Chetverikov, D., Gede, K. (1997). Textures and structural defects. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_114
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DOI: https://doi.org/10.1007/3-540-63460-6_114
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