| Citation: |
Zheng Zhaobao. A New Texture Recognition Method Based on MRF Parameters and Linear Programming[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 228-231.
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| [1] | ZHENG Zhaobao, PAN Li, ZHENG Hong. A Method of Image Texture Texton Classification with Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 2017, 42(4): 463-467. DOI: 10.13203/j.whugis20150615 |
| [2] | WEI Xiaoli, SHEN Weiming. Gabor-MRF Model Based on Color Texture Image Segmentation[J]. Geomatics and Information Science of Wuhan University, 2010, 35(8): 955-958. |
| [3] | GONG Yan, SHU Ning. Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 213-215. |
| [4] | ZHENG Zhaobao. Texture Recognition Method Based on Bayesian Linear Programming[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 193-196. |
| [5] | WANG Hui, LU Jian, SUN Xiaofang. An Improved Algorithm Based on Embedded Hidden Markov Model Structure for Face Recognition[J]. Geomatics and Information Science of Wuhan University, 2006, 31(7): 573-575. |
| [6] | ZHENG Zhaobao, PAN Li, YU Xin. Bayesian Networks for Producing Texture "Tuned" Masks[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4): 304-307. |
| [7] | ZHENG Zhaobao, ZHENG Hong. The Decision of the Optimal Parameters in Markov Random Fields of Images by Genetic Algorithm[J]. Geomatics and Information Science of Wuhan University, 2000, 25(3): 221-225. |
| [8] | Zheng Zhaobao, Zheng Hong. The Image Texture Classification Based on Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 1998, 23(4): 337-339. |
| [9] | Huang Guilan, Zheng Zhaobao. Using Texture Model to Classify Image Texture[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 40-42. |
| [10] | Huang Guilan, Zheng Zhaobao. A Method of Image Texture Classification Based on Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 232-236,241. |
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