Research on classification of wood surface texture based on Markov random field

ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Volumn , Issue , 2007, Pages 664-668

  Bai, Xuebing ^a   Wang, Keqi ^a  

^a NORTHEAST FORESTRY UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; PARAMETER ESTIMATION; PATTERN RECOGNITION; TEXTURES;

GIBBS-MRF PARAMETER; SCATTERED DISTRIBUTION; SURFACE TEXTURE;

WOOD;

NEURAL NETWORKS; TEXTURE; WOOD;

EID: 35248846580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2007.4318490     Document Type: Conference Paper

References (5)

1. Li Jian and Liu Yixing, Wood painting and vision physical quantity, Harbin: Northeast Forestry University Press, 1998, pp. 325-540.
2. Stan S., Palubinskas G and Datcu M., "Bayesian selection of the neighbourhood order for Gauss-Markov texture models," Pattern Recognition Letters, Vol. 23, pp. 1229-1238, August 2002.
3. Li C. T., "Multiresolution image segmentation integrating Gibbs sampler and region merging algorithm," Signal Processing, Vol. 83, pp. 67-78. January 2003
4. Deng Huawu and Clausi David A., "Unsupervised image segmentation using a simple MRF model with a new implementation scheme," Pattern Recognition, Vol. 37, pp. 2323-2335, December 2004.
5. Bian Zhaoqi and ZhangXuegong, Pattern-Recognition, Beijing: Tsinghua University Press, 2000, pp. 250-260.