Producing a segmented image using markov random field optimization

• 1. 使用马尔可夫随机场优化来产生分割图像 [P] . 中国专利： CN108269266A . 2018-07-10
• 2. 一种基于新型马尔可夫随机场和区域合并的航拍图像混合分割算法 [P] . 中国专利： CN111047603B . 2021.09.03
• 3. PRODUCING A SEGMENTED IMAGE USING MARKOV RANDOM FIELD OPTIMIZATION [P] . 美国专利： US2018189956A1 . 2018-07-05

  机译： 使用MARKOV随机场优化来产生分段图像

• 4. PRODUCING A SEGMENTED IMAGE USING MARKOV RANDOM FIELD OPTIMIZATION [P] . 欧洲知识产权局专利： EP3343504A1 . 2018-07-04

  机译： 使用MARKOV随机场优化来产生分段图像

• 5. GENERATING IMAGES SEGMENTED BY USING OPTIMIZATION OF MARKOV RANDOM FIELD [P] . 日本专利： JP2018109970A . 2018-07-12

  机译： 利用马尔可夫随机场的优化生成图像分割

• 1. THE DECISION OF THE OPTIMAL PARAMETERS IN MARKOV RANDOM FIELDS OF IMAGES BY GENETIC ALGORITHM [J] . 地球空间信息科学学报（英文版） . 2000,第003期
• 2. A New Encryption-Then-Compression Scheme on Gray Images Using the Markov Random Field [J] . Chuntao Wang, Yang Feng, Tianzheng Li, 计算机、材料和连续体(英文) . 2018,第007期
• 3. ON MARKOV RANDOM FIELD MODELS FOR SEGMENTATION OF NOISY IMAGES [J] . 电子科学学刊：英文版 . 1996,第001期
• 4. A Markov-Random-Field Approach for Extracting Straight-Line Segments of Roofs From High-Resolution Aerial Images [J] . Vanessa Jordão Marcato Fernandes, Aluir Porfírio Dal Poz Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2016,第12期
• 5. Linear intensity-based image registration by Markov random fields and discrete optimization [J] . Darko Zikic, Ben Glocker, Oliver Kutter, Medical image analysis . 2010,第4期
• 6. Subpixel Mapping of Multispectral Images Using Markov Random Field With Graph Cut Optimization [J] . Qingxiang Liu, John Trinder IEEE Geoscience and Remote Sensing Letters . 2016,第10期
• 7. A generalized fusion approach for segmenting dermoscopy images using Markov random field [C] . Ming Di, Wen Quan, Chen Juan, International Congress on Image and Signal Processing . 2013
• 8. Unsupervised segmentation of noisy and textured images modeled by Markov random fields. [D] . Gregoriou, Georghios Kyriacos. 1992
• 9. A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI [O] . Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, -1
• 10. Fusing Markov Random Fields with Anatomical Knowledge and Shape Based Analysis to Segment Multiple Sclerosis White Matter Lesions in Magnetic Resonance Images of the Brain [O] . Stephan Al-zubi A, Klaus Toennies A, Nils Bodammer B, 2008
• 11. Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields [R] . Cohen, F. S., Cooper, D. B. 1984

• 1. Optimization by Estimation of Distribution with DEUM Framework Based on Markov Random Fields [J] . Siddhartha Shakya ,John McCall . 国际自动化与计算杂志：英文版 . 2007,第3期
• 2. Near-Lossless Compression Based on a Full Range Gaussian Markov Random Field Model for 2D Monochrome Images [J] . K. Seetharaman ,V. Rekha . 信号与信息处理（英文） . 2013,第1期
• 3. 基于马尔可夫随机场的图像分割中标号场参数选择方法综述 [C] . Zhang Zhe ,张喆 ,Yang Yi . 第七届中国信息融合大会 . 2015
• 4. 基于改进FCM与马尔可夫随机场的脑部图像分割 [A] . 尹蔓卓 . 2019