Equal-intensity map texture modeling for natural scene segmentation

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn 2002-January, Issue , 2002, Pages 219-223

  Celenk, M ^a   Zhou, Qiang ^a   Chelberg, D ^a  

^a US Institute of Navigation   (United States)

Author keywords

Computer science; Image analysis; Image reconstruction; Image segmentation; Image texture analysis; Layout; Lighting; Parameter estimation; Pixel; Robustness

Indexed keywords

COLOR; COMPUTER SCIENCE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; LIGHTING; PARAMETER ESTIMATION; PIXELS; ROBUSTNESS (CONTROL SYSTEMS);

COLOR AND TEXTURES; COMPUTATIONAL POWER; IMAGE TEXTURE ANALYSIS; LAYOUT; NATURAL TEXTURES; SCENE SEGMENTATION; SEGMENTATION TECHNIQUES; TEXTURE SYNTHESIS;

IMAGE TEXTURE;

EID: 28044442151     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAI.2002.999921     Document Type: Conference Paper

References (10)

1. G. Cross and A. Jain, "Markov random field texture models," IEEE Transactions on PAMI, Vol.5, pp.25-39, 1983
2. R. Chellappa, "Two-dimensional discrete Gaussian Markov random field models for image processing," in L.N. Kanal and A. Rosenfeld (Eds.), Progress in Pattern Recognition 2, pp.79-112, 1993
3. H. Derin and H. Elliott, "Modeling and segmentation of noisy and textured images using Gibbs random fields," IEEE Transactions on PAMI, Vol.9, pp.39-55, 1987
4. H. Derin, et al., "Bayes smoothing algorithms for segmentation of binaryimages modeled by Markov random fields," IEEE Transactions on PAMI, Vol.6, pp.707-720, 1984
5. G. L. Gimel'farb, Image Textures and Gibbs Random Field. Kluwer-Academic, 1999
6. J. Portilla and E. Simoncelli, "A parametric texture model based on joint statistics of complex wavelet coefficients," Int. Journal of Computer Vision, Vol.40, pp.49-71, 2000
7. D. Yining and B.S. Manjunath, "Unsupervised segmentation of color-texture regions in images and video," IEEE Transactions on PAMI, Vol.23, No.8, pp.800-810, 2001
8. R. M. Haralick, "Textural features for image classification," IEEE Transactions on Systems, Man, and Cybernetics, Vol.SMC-3, pp.610-621, 1973
9. S. Z. Li, Markov Random Field Modeling in Image Analysis, Springer, 2001
10. R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, McGraw-Hill, 1995