Abstract
When performing quality inspection of recycled paper one phenomenon of concern is the appearance of macroscopic undulations on the paper sheet surface that may emerge shortly or some time after its production. In this paper we explore the detection and measurement of this defect by means of computer vision and statistical pattern recognition techniques that may allow early detection at the production site. We propose features computed from Gabor Filter Banks (GFB) and Discrete Wavelet Transforms (DWT) for the characterization of paper sheet surface bumpiness in recycled paper images. The lack of a precise definition of the defect and the great variability of the sheet deformation shapes and scales, both within each image and between images, introduce additional difficulties to the problem. We obtain, with both proposed modeling approaches (GFB and DWT), classification accuracies are comparable to the agreement between human observers. The best performance is obtained using DWT features.
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References
Sari-Sarraf, H. and Goddard, J.S., Jr.: Vision system for on-loom fabric inspection. IEEE Trans. Ind. Appl. 35, 1252–1259 (1999)
Chi-Ho, C. and Pang, G.K.H.: Fabric defect detection by Fourier analysis. IEEE Trans. Ind. Appl. 36, 1267–1276 (2000)
Anagnostopoulos, C., Anagnostopoulos, I., Vergados, D., Kouzas, G., Kayafas, E., Loumos, V., and Stassinopoulos, G.: High performance computing algorithms for textile quality control. Math. Comput. Simulat. 60, 389–400 (2002)
Abouelela, A., Abbas, H.M., Eldeeb, H., Wahdan, A.A., and Nassar, S.M.: Automated vision system for localizing structural defects in textile fabrics. Pattern Recogn. Lett. 26, 1435–1443 (2005)
Ngan, H.Y.T., Pang, G.K.H., Yung, S.P., and Ng, M.K.: Wavelet based methods on patterned fabric defect detection. Pattern Recogn. 38, 559–576 (2005)
Kumar, A. and Pang, G.K.H.: Defect detection in textured materials using Gabor filters. IEEE Trans. Ind. Appl. 38, 425–440 (2002)
Scharcanski, J.: Stochastic Texture Analysis for Measuring Sheet Formation Variability. IEEE Trans. Instrum. Meas. 55, 1778–1785 (2006)
Martinez-Alajarin, J., Luis-Delgado, J.D., and Tomas-Balibrea, L.M.: Automatic system for quality-based classification of marble textures. IEEE Trans. Syst. Man. Cy. C. 35, 488–497 (2005)
Funck, J.W., Zhong, Y., Butler, D.A., Brunner, C.C., and Forrer, J.B.: Image segmentation algorithms applied to wood defect detection. Comput. Electron. Agr. 41, 157–179 (2003)
Gabor, D.: Theory of communication. J. IEE. 93, 429–457 (1946)
Daugman, J.G.: Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by twodimensional visual cortical filters. J. Opt. Soc. Am. 2, 1160–1169 (1985)
Mallat, S.G.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. 11, 674–693 (1989)
Mallat, S.G.: Multifrequency channel decompositions of images and wavelet models. Acoustics, IEEE Trans. Signal Proces. 37, 2091–2110 (1989)
Fahmy, G., Black, J.J., and Panchanathan, S.: Texture characterization for joint compression and classification based on human perception in the wavelet domain. IEEE Trans. Image Process. 15, 1389–1396 (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Maldonado, J.O., Herrera, D.V., Romay, M.G. (2007). Visual Texture Characterization of Recycled Paper Quality. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_38
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DOI: https://doi.org/10.1007/978-3-540-74972-1_38
Publisher Name: Springer, Berlin, Heidelberg
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