Textural Features for Image Classification

IEEE Transactions on Systems, Man and Cybernetics

Volumn SMC-3, Issue 6, 1973, Pages 610-621

  Haralick, Robert M ^a   Dinstein, Its'hak ^a   Shanmugam, K ^b  

^a UNIVERSITY OF KANSAS   (United States)

^b WICHITA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION SYSTEMS;

CLASSIFICATION; IMAGE PROCESSING; METHODOLOGY; PATTERN RECOGNITION;

EID: 0015680481     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/TSMC.1973.4309314     Document Type: Article

References (25)

1. Special Issue on Digital Picture Processing, Proc. IEEE, vol. 60, pp. 763–922, July 1972.
2. H. C. Andrews, A. G. Tescher, and R. P. Kruger, “Image processing by digital computer,” IEEE Spectrum, vol. 9, pp. 20–32, July 1972.
3. H. Kaizer, “A quantification of textures on aerial photographs,” Boston Univ. Res. Lab., Boston, Mass., Tech. Note 121, 1955, AD 69484.
4. R. Chevallier, A. Fontanel, G. Grau, and M. Guy, “Application du filtrage optique a l'etude des photographies aeriennes,” presented at the 11th Congr. Int. Photogrammetric, July 1968.
5. R. Bixby, G. Elerding, V. Fish, J. Hawkins, and R. Loewe, “Natural image computer,” Aeronutronic Division, Philco-Ford Corp., Newport Beach, Calif., Final Tech. Rep., vol. 1, Publ. C-4035, May 1967.
6. E. M. Darling and R. D. Joseph, “Pattern recognition from satellite altitudes,” IEEE Trans. Syst. Sci. Cybern., vol. SSC-4, pp. 3847, Mar. 1968.
7. A. Rosenfeld and E. Troy, “Visual texture analysis,” Comput. Sci. Cent., Univ. Maryland, College Park, Tech. Rep. 70–116, June 1970.
8. A. Rosenfeld and M. Thurston, “Visual texture analysis,” Comput. Sci. Cent., Univ. Maryland, College Park, Tech. Rep. 70–129, Sept. 1970.
9. E. B. Troy, E. S. Deutsch, and A. Rosenfeld, “Gray-level manipulation experiments for texture analysis,” IEEE Trans. Syst., Man, Cybern., vol. SMC-3, pp. 91–98, Jan. 1973.
10. Proc. Symp. Computer Image Processing and Recognition, Univ. Missouri, Columbia, Aug. 24–26, 1972.
11. R. M. Pickett, “Visual analysis of texture in the detection and recognition of objects,” in Picture Processing and Psychopictorics, B. S. Lipkin and A. Rosenfeld, Eds. New York: Academic Press, 1970, pp. 289–308.
12. A. Rosenfeld and B. S. Lipkin, “Texture synthesis,” in Picture Processing and Psychopictorics, B. S. Lipkin and A. Rosenfeld, Eds. New York: Academic Press, 1970, pp. 309–345.
13. P. Brodatz, Textures. New York: Dover, 1966.
14. R. M. Haralick, K. Shanmugam, and I. Dinstein, “On some quickly computable features for texture,” in Proc. Symp. Computer Image Processing and Recognition, Univ. Missouri, Columbia, vol. 2, pp. 12-2-1-12-2-8, Aug. 1972.
15. E. E. Hall et al., “A survey of preprocessing and feature extraction techniques for radiographic images,” IEEE Trans. Comput., vol. C-20, pp. 1032–1044, Sept. 1971.
16. R. M. Haralick and D. Anderson, “Texture-tone study with applications to digitized imagery,” Univ. Kansas Center for Research, Inc., Lawrence, CRES Tech. Rep. 182–2, Nov. 1971.
17. R. M. Haralick, I. Dinstein, K. Shanmugam, and D. Goel, “Texture-tone study with applications to digitized imagery,” Univ. Kansas Center for Research, Inc., Lawrence, CRES Tech. Rep. 182–4, Dec. 1972.
18. R. M. Haralick and K. Shanmugam, “Computer classification of reservoir sandstones,” IEEE Trans. Geosci. Electron., vol. GE-11, pp. 171–177, Oct. 1973.
19. K. Fukunaga, Introduction to Statistical Pattern Recognition. New York: Academic Press, 1972.
20. K. S. Fu and J. M. Mendel, Adaptive Learning and Pattern Recognition Systems. New York: Academic Press, 1972.
21. W. Miesel, Computter Oriented Approaches to Pattern Recognition. New York: Academic Press, 1972.
22. N. J. Nilsson, Learning Machines. New York: McGraw-Hill, 1965.
23. E. H. Linfoot, “An information measure of correlation,” Inform. Contr., vol. 1, pp. 85–89, 1957.
24. C. B. Bell, “Mutual information and maximal correlation measures of dependence,” Ann. Math. Statist., vol. 43, pp. 587–595, 1962.
25. P. N. Anderson et al., “An automated image processing system-IDECS,” Ph.D. project, Univ. Kansas, Lawrence, 1972.