Multi-spectral texture segmentation based on the spectral cooccurrence matrix

Pattern Analysis and Applications

Volumn 2, Issue 4, 1999, Pages 275-284

  Hauta Kasari, M ^a,d   Parkkinen, J ^b   Jaaskelainen, T ^b,e   Lenz, R ^c  

^a LAPPEENRANTA UNIVERSITY OF TECHNOLOGY   (Finland)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c LINKÖPING UNIVERSITY   (Sweden)

^d Pattern Recog Society of Finland   (Japan)

^e OPTICAL SOCIETY OF AMERICA   (United States)

Author keywords

Colour; Cooccurrence matrix; Multi spectral imaging; Multi spectral texture; Segmentation; Texture

Indexed keywords

EID: 0033465319     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s100440050036     Document Type: Article

References (34)

1. Hyvarinen T, Herrala E, Dall'Ava A. Direct sight imaging spectrograph: an unique add-on component brings spectral imaging to industrial applications. Proceedings of the IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1998; 3302-21
2. Kaiser PK, Boynton RM. Human Color Vision (2nd ed). Optical Society of America, Washington DC, 1996
3. Wyszecki G, Stiles WS. Color Science: Concepts and methods, quantitative data and formulae. Wiley, New York, 1982
4. Tan TSC, Kittler J. On colour texture representation and classification. Proceedings 2nd International Conference on Image Processing, 1992;390-395
5. Tan TSC, Kittler J. Colour texture classification using features from colour histograms. Proceedings 8th Scandinavian Conference on Image Analysis, 1993;807-813
6. Tan TSC, Kittler J. Colour texture analysis using colour histogram. IEE Proc Vis Image Signal Process 1994; 141(6):403-412
7. Messer K, Kittler J. A comparison of colour texture attributes selected by statistical feature selection and neural networks methods. Pattern Recognition Lett 1997; 18(13):1241-1246
8. Scharcanski J, Hovis JK, Shen HC. Representing the color aspect of texture images. Pattern Recognition Letters 1994; 15(2): 191-197
9. Kondepudy R, Healey G. Use of invariants for recognition of three-dimensional color textures. J Optical Society of America A 1994; 11(11):3037-3049
10. Healey G, Wang L. Illumination-invariant recognition of texture in color images. J Optical Society of America A 1995; 12(9): 1877-1883
11. Panjwani DK, Healey G. Markov random field for unsupervised segmentation of textured color images. IEEE Trans Pattern Analysis and Machine Intelligence 1995; 17(10):939-954
12. Drew MS, Funt BV. Natural metamers. CVGIP: Image Understanding 1992; 56(2):139-151
13. Ramasamy SM, Venkatasubrmanian V, Anbazhagan S. Reflectance spectra of minerals and their discrimination using Thematic Mapper, IRS and SPOT multispectral data. Int J Remote Sensing 1993; 14(16):2935-2970
14. Richards JA. Remote Sensing Digital Image Analysis: An introduction. Springer-Verlag, Berlin, 1993
15. Manabe Y, Sato K, Inokuchi S. An object recognition through continuous spectral images. Proceedings 12th International Conference on Pattern Recognition 1994; 1:858-860
16. World Wide Web: ftp://ophelia.jpl.nasa.gov/pub/docs/html/ aboutAV.htm
17. Chen PF, Tran TC. Hyperspectral imagery classification using a backpropagation neural network. Proceedings International Conference on Neural Networks 1994; 1:2942-2947
18. Baronti S, Casini A, Lotti F, Porcinai S. Multispectral imaging system for the mapping of pigments in works of art by use of principal component analysis. Applied Optics 1998; 37(8): 1299-1309
19. Tominaga S. Multichannel vision system for estimating surface and illumination functions. J Optical Society of America A 1996; 13(11):2163-2173
20. Machuca R, Phillips K. Applications of vector fields to image processing. IEEE Trans Pattern Analysis and Machine Intelligence 1983; 5(3):316-329
21. Cumani A. Edge detection in multispectral images. CVGIP: Graphical Models and Image Processing 1991; 53(1):40-51
22. Schettini R. A segmentation algorithm for color images. Pattern Recognition Letters 1993; 14(6):499-506
23. Kohonen T. The Self-Organizing Maps. Springer-Verlag, Berlin, Heidelberg, 1995
24. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Systems, Man, and Cybernetics 1973; SMC-3(6):610-621
25. Oja E, Parkkinen J. Texture subspaces. In: Devijver PA, Kittler J (eds), Pattern Recognition Theory and Applications. Springer-Verlag, Berlin, Heidelberg, 1987; 21-27
26. Chang CC, Wang LL. Color texture segmentation for clothing in a computer-aided fashion design system. Image and Vision Comput 1996; 14(9):685-702
27. Parraga CA, Brelstaff G, Troscianko T, Moorehead IR. Color and luminance information in natural scenes. J Optical Society of America A 1998; 15(3):563-569
28. Rosenfeld A, Wang CY, Wu AY. Multispectral texture. IEEE Trans Systems, Man and Cybernetics 1982; SMC-12(1):79-84
29. Oja E, Valkealahti K. Co-occurrence map: Quantizing multidimensional texture histograms. Pattern Recognition Letters 1996; 17(9):723-730
30. Raghu PP, Poongodi R, Yednanarayana B. A combined neural network approach for texture classification. Neural Networks 1995; 8(6):975-987
31. Rumelhart DE, Hinton GE, Williams RJ. Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL (eds), Parallel Distributed Processing: Explorations in the Microstructures of Cognition, Vol 1. MIT Press, Cambridge, MA, 1986; 318-362
32. Haykin S. Neural Networks. Macmillan, New York, 1994
33. Jaaskelainen T, Toyooka S, Izawa S, Kadono H. Color classification by vector subspace method and its optical implementation using liquid crystal spatial light modulator. Optics Comm 1992; 89(1):23-29
34. Allam S, Adel M, Refregier P. Fast algorithm for texture discrimination by use of a separable orthonormal decomposition of the co-occurrence matrix. Applied Optics 1997; 36(32):8313-8321.