Paper characterisation by texture using visualisation-based training

International Journal of Advanced Manufacturing Technology

Volumn 22, Issue 11-12, 2003, Pages 890-898

  Turtinen, M ^a   Pietikainen M ^a   Silven O ^a   Maenpaa T ^a   Niskanen, M ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

Local binary pattern; Quality control; Self organising map; Texture analysis; Visual inspection

Indexed keywords

INSPECTION; QUALITY CONTROL; SELF ORGANIZING MAPS;

TEXTURE ANALYSIS; VISUAL INSPECTION;

PAPER;

INSPECTION; PAPER; PAPER QUALITY; QUALITY CONTROL; TEXTURE;

EID: 0347537787     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1699-6     Document Type: Article

References (16)

1. Norman B, Wahren D (1974) The measurement of mass distribution in paper sheet using a beta radiographic method. Svensk Papperstidning 77(11):397-406
2. Cresson T, Luner P (1990) Characterization of paper formation. Part 2: the texture analysis of paper formation. Tappi J 73(12):175-184
3. Bernie JP, Douglas WJM (1996) Local grammage distribution and formation of paper by light transmission image analysis. Tappi J 79(1):193-202
4. Bouyndain M, Colom JF, Navarro R, Pladellorens J (2001) Determination of paper formation by Fourier analysis of light transmission images. Appita J 54(2):103-105, 115
5. Keller DS, Lewalle, Luner P (1999) Wavelet analysis of simulated paper formation. Pap Puu 81(7):499-505
6. Boyndain M, Colom JF, Pladellorens J (1999) Using wavelets to determine paper formation by light transmission image analysis. Tappi J 82(7):153-158
7. Jordan BD, Nguyen NG (1986) Specific perimeter - a graininess parameter for formation and print-mottle textures. Pap Puu 6(7):476-482
8. Niskanen M, Silvén O, Kauppinen H (2001) Color and texture based wood inspection with non-supervised clustering. In: SCIA 2001 - 12th Scandinavian conference of image analysis, Bergen, Norway, pp 336-342
9. Ojala T, Pietikäinen M, Harwood D (1996) A comparative study of texture measures with classification based on feature distributions. Pattern Recognition 29(1):51-59
10. Ojala T, Pietikäinen M, Mäenpää T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971-987
11. Ojala T, Valkealahti K, Oja E, Pietikäinen M (2001) Texture discrimination with multidimensional distributions of signed gray level differences. Pattern Recognition 34:727-739
12. Harwood D, Ojala T, Pietikäinen M, Kelman S, Davis LS (1995) Texture classification by center-symmetric auto-correlation, using kullback discrimination of distributions. Pattern Recognition Lett 16:1-10
13. Laws KL (1980) Textured image segmentation. PhD thesis, University of Southern California, Los Angeles, USA
14. Vincent L, Soille P (1991) Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans Pattern Anal Mach Intell 13(6):583-598
15. Kohonen T (1997) Self-organizing maps. Springer, Berlin Heidelberg New York
16. Niskanen M, Kauppinen H, Silvén O (2002) Real-time aspects of SOM-based visual surface inspection. Proc SPIE 4664:123-134