Determining composition of grain mixtures by texture classification based on feature distributions

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 10, Issue 1, 1996, Pages 73-82

  Ojala, Timo ^a   Pietikäinen, Matti ^a   Nisula, Jarkko ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

Feature distribution; Machine vision; Texture analysis; Visual inspection

Indexed keywords

CLASSIFIERS;

CLASSIFICATION; TEXTURE ANALYSIS;

COMPUTER VISION;

EID: 0030352230     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001496000074     Document Type: Article

References (15)

1. P. A. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach, Prentice-Hall, London, 1982.
2. R. Duda and P. Hart, Pattern Classification and Scene Analysis, John Wiley & Sons, New York, 1973.
3. D. Harwood, T. Ojala, M. Pietikäinen, S. Kelman and L. S. Davis, "Texture classification by center-symmetric auto-correlation, using Kullback discrimination of distributions", Pattern Recogn. Lett. 16 (1995) 1-10.
4. D. Harwood, M. Subbarao and L. S. Davis, "Texture classification by local rank correlation", Computer Vision, Graphics, and Image Processing 32 (1985) 404-411.
5. M. Kendall and A. Stuart, The Advanced Theory of Statistics, vol. 2, Macmillan Publishing Co., New York, 1979.
6. B. Kjell,"Determining composition of grain mixtures using texture energy operators", SPIE Intelligent Robots and Computer Vision XI, vol. 1825, 1992, pp. 395-400.
7. S. Kullback, Information Theory and Statistics, Dover, New York, 1968.
8. K. I. Laws, "Textured image segmentation", Report 940, Image Processing Institute, Univ. of Southern California, 1980.
9. P. P. Ohanian and R. C. Dubes, "Performance evaluation for four classes of textural features", Pattern Recogn. 25 (1992) 819-833.
10. T. Ojala, M. Pietikäinen and D. Harwood, "Performance evaluation of texture measures with classification based on Kullback discrimination of distributions," Proc. 12th Int. Conf. on Pattern Recognition, vol. 1 , Jerusalem, Israel, 1994, pp. 582-585.
11. M. Pietikäinen and T. Ojala, "Texture analysis in industrial applications", in Advances in Image Processing, and Machine Vision, ed. J. L. C. Sanz, Springer-Verlag, in press.
12. R. R. Sokal and F. J. Rohlf, Introduction to Bio statistics, W. H. Freeman and Co., New York, 1987.
13. M. Unser, "Sum and difference histograms for texture classification", IEEE Trans. on Pattern Anal. Machine Intell. 8 (1986) 118-125.
14. A. L. Vickers and J. W. Modestino, "A maximum likelihood approach to texture classification," IEEE Trans. on Pattern Anal. Machine Intell. 4 (1982) 61-68.
15. J. Weszka, C. Dyer and A. Rosenfeld, "A comparative study of texture measures for terrain classification", IEEE Trans. on Syst. Man Cybern. 6 (1976) 269-285.