Texture Analysis Using Generalized Co-Occurrence Matrices

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn PAMI-1, Issue 3, 1979, Pages 251-259

  Davis, Larry S ^a   Johns, Steven A ^b   Aggarwal, J K ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b ABBOTT LABORATORIES   (United States)

Author keywords

Computer vision; image processing; pattern recognition; texture analysis

Indexed keywords

PATTERN RECOGNITION SYSTEMS;

IMAGE PROCESSING;

EID: 0018491833     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.1979.4766921     Document Type: Article

References (8)

1. A. Hanson, E. Riseman, and P. Nagin, “Region growing in textured outdoor scenes,” Computer and Information Sciences, TR-75C-3, 1975.
2. R. Haralick, K. Shanmugam, and I. Dinstein, “Texture features for image classification,” IEEE Trans. Syst., Man, Cybern., vol. SMC-3, pp. 610–622, 1973.
3. A. Rosenfeld and A. Kak, Digital Picture Processing. New York: Academic, 1976.
4. J. Maleson, C. Brown, and J. Feldman, “Understanding natural texture,” in Proc. DARPA Image Understanding Workshop, Palo Alto, CA, 1977, pp. 19–27.
5. D. Marr, “Early processing of visual information,” Phil. Trans. Roy. Soc. B, to be published.
6. S. Zucker, A. Rosenfeld, and L. Davis, “Picture segmentation by texture discrimination,” IEEE Trans. Comput., vol. C-24, pp. 1228–1233, 1975.
7. P. Chen and T. Pavlidis, “Segmentation by texture using a split-and-merge algorithm,” presented at the IEEE Workshop Pattern Recognition and Artificial Intelligence, Princeton, NJ, 1978.
8. R. Kirsch, “Computer determination of the constituent structure of biological images,” Comput. Biomed. Res., vol. 4, 1971.