Segmentation of statistical texture images using the metric space theory

Signal Processing

Volumn 53, Issue 1, 1996, Pages 27-34

  Doh, Sang Y ^a,b   Park, Rae Hong ^a  

^a Sogang University   (South Korea)

^b DACOM Corp   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE QUALITY; MARKOV PROCESSES; MATHEMATICAL MODELS; NUMERICAL METHODS; STATISTICAL METHODS; TOPOLOGY;

GAUSS MARKOV RANDOM FIELD (GMRF) METHOD; METRIC SPACE THEORY; SPATIAL GRAY LEVEL DIFFERENCE METHOD (SGLDM); TEXTURE SEGMENTATION TECHNIQUE;

IMAGE SEGMENTATION;

EID: 0030218189     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(96)00073-4     Document Type: Article

References (8)

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2. P. Brodatz, Textures - A Photographic Album for Artists and Designers, Dover, New York, 1966.
3. R.W. Conners and C.A. Harlow, "A theoretical comparison of texture algorithm", IEEE Trans. Pattern Anal. Machine Intell., Vol. PAMI-2, May 1980, pp. 204-222.
4. H. Derin and C.-S. Won, "A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors", Comput. Vision Graph Image Process., Vol. 40, October 1987, pp. 54-78.
5. S.Y. Doh, A Study on the Texture Image Segmentation Using Metric Space Theory, MS Thesis, Dept. of EE, Sogang Univ., Seoul, Korea, 1992.
6. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images", IEEE Trans. Pattern Anal. Machine Intell., Vol. PAMI-6, November 1984, pp. 721-741.
7. M.C. Gemignani, Elementary Topology Theory, 2nd edition, Addison-Wesley, New York, 1972.
8. B. Julesz, "Experiments in the visual perceptron of texture", Sci. Amer., Vol. 232, 1975, pp. 34-13,