Grain Pattern Characterization and Classification of Walnut by Image Processing
Keywords:
Wood grain, image processing, mathematical morphology, discriminant analysis, classificationAbstract
Grain pattern is an important characteristic of wood materials and it is usually assessed visually by trained workers. This paper presents results from a study to characterize walnut grain patterns by using image processing techniques. Grain streaks of the annual growth rings were segmented and labeled in walnut surface images. Grain pattern features were computed for each streak. The average elongation and average local contrast were used to classify 48 walnut samples into three visual grades. Three types of classification techniques were tested: linear discriminant analysis, quadratic discriminant analysis, and neural network classification. A hold-one-out procedure yielded correct classification rates of 71.4%, 61.9%, and 69.0%, respectively. The results establish the potential usefulness of image processing techniques in wood grain characterization and grading.References
Brunner, C. C., G. B. Shaw, D. A. Butler, and J. W. Funck. 1990. Using color in machine vision systems for wood processing. Wood Fiber Sci.22(4):413-428.nButler, D. A., C. C. Brunner, and J. W. Funck. 2002. Wood-surface feature classification via extended-color imagery. Forest Prod. J.52(6):80-84.nCastleman, K. R. 1996. Digital image processing. Prentice-Hall Inc., Upper Saddle River, NJ. 667 pp.nConners, R. W., C. W. McMillin, K. Lin, and R. E. Vasquez-Espinoza. 1983. Identifying and locating surface defects in wood. IEEE Trans. Pattern Anal. Mach. Intell.5(6):573-583.nGonzalez, R. C., and R. E. Woods. 1992. Digital image processing. Addison-Wesley Publishing Company, Reading, MA. 716 pp.nHaralick, R. M., and L. G. Shapiro. 1992. Computer and robot vision. Volume 1. Addison-Wesley Publishing Company, Reading, MA. 672 pp.nHaralick, R. M., K. Shanmugam, and I. Dinstein. 1973. Textural features for image classification. IEEE Trans. Sytems, Man, and Cybernetics3(6):610-621.nHaralick, R. M., S. R. Sternberg, and X. Zhuang. 1987. Image analysis using mathematical morphology. IEEE Trans. Pattern Anal. Mach. Intell.9(4):532-550.nHaykin, S. 1999. Neural networks: A comprehensive foundation. 2nd ed. Prentice-Hall Inc., Upper Saddle River, NJ. 842 pp.nJohnson, R. A., and D. W. Wichern. 1998. Applied multivariate statistical analysis. Prentice-Hall Inc., Upper Saddle River, NJ. 816 pp.nKline, D. E., A. Widoyoko, J. K. Wiedenbeck, and P. A. Araman. 1998. Performance of color camera machine vision in automated furniture rough mill systems. Forest Prod. J.48(3):38-45.nKlinkhachorn, P. F., J. P. Franklin, C. W. McMillin, R. W. Conners, and H. A. Huber. 1988. Automated computer grading of hardwood lumber. Forest Prod. J.38(3):67-69.nKoivo, A. J., and C. W. Kim. 1989. Robust image modeling for classification of surface defects on wood boards. IEEE Trans. Systems, Man & Cybernetics19(6): 1659-1666.nLebow, P. K., C. C. Brunner, A. G. Maristany, and D. A. Butler. 1996. Classification of wood surface features by spectral reflectance. Wood Fiber Sci.28(1):74-90.nLiu, J., and T. Furuno. 2001. The fractal evaluation of wood texture by the triangular prism surface area method. Wood Fiber Sci.33(2):213-222.nMacMillan, M. B., M. H. Schneider, A. R. Sharp, and B. J. Balcom. 2002. Magnetic resonance imaging of water concentration in low moisture content wood. Wood Fiber Sci.34(2):276-286.nMeyer, F. 1977. Contrast feature extraction. In J. L. Charmont, ed. Quantitative analysis of microstructures in material sciences, biology, and medicine, Special issue of Practical Metallography. Riedner-Verlag, Stuttgart, Germany.nMoëll, M., and G. Borgefors. 2001. An image analysis method to measure cross-sectional tracheid dimensions on softwood increment cores. Wood Fiber Sci.33(2):200-212.nPham, D. T., and R. J. Alcock. 1998. Automated grading and defect detection: A review. Forest Prod. J.48(4):34-42.nQuin, F. Jr., P. H. Steele, and R. Shmulsky. 1998. Locating knots in wood with an infrared detector system. Forest Prod. J.48(10):80-84.nSchmoldt, D. L., J. He, and A. L. Abbott. 2000. Automated labeling of log features in CT imagery of multiple hardwood species. Wood Fiber Sci.32(3):287-300.nStelmokas, J. W., A. G. Zink, and J. R. Loferski. 1997. Image correlation analysis of multiple-bolt wood connections. Wood Fiber Sci.29(3):210-227.nSternberg, S. R. 1986. Grayscale morphology. Computer Vision, Graphics, and Image Processing35:333-355.nThe MathWorks. 1998. Neural Networks Toolbox User's Guide, Version 3. The MathWorks, Inc.nTou, J. T., and R. C. Gonzalez. 1974. Pattern recognition principles. Addison-Wesley Publishing Company, Reading, MA. 377 pp.nUSDA Forest Products Laboratory. 1987. Handbook of wood and wood-based materials for engineers, architects, and builders. Hemisphere Publishing Corporation, New York, NY.nWang, L., and D. C. He. 1990. Texture classification using texture spectrum. Pattern Recognition23(8):905-910.n
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