搜索资源列表
project
- markov随机过程实现方法，比较简单的实现方法-the markov random process method, relatively simple method
MRF_MAP
- 西工大的一篇关于MRF的论文。该论文提出了一种新颖的基于马尔可夫随机场(MRF) 空间上下文信息的图象分割方法。-NPU a papers on MRF. This paper presents a novel based on Markov random field ( MRF ) the spatial context information of the image segmentation method.
MRF
- 提出了一种基于MAP的Markov随机场的图像融合方法-This paper proposes a method of Markov random field to classify the remote sensing images based on the maxi- mum a posteriori model
ICM_seg
- 主要用是马尔可夫随机场分割问题，采用ICM迭代方法。-Mainly with Markov random field segmentation using ICM iterative method.
Random-process-experiments
- 随机过程实验（研一）包含的程序：离散时间马尔可夫链、连续时间马尔科夫链、布朗运动。-Random process experiments (yanyi) program included: discrete time Markov chains, continuous-time Markov chains, Brownian motion.
001
- 指纹分类是针对大型指纹库的一个重要的索引方式, 可以有效地提高指纹匹配的效率. 指纹类型的不同表现为指纹纹 理结构的差异, 而指纹的方向场则可以有效地描述纹理结构的差异. 同一类型指纹不同区域上方向角结构的差异以及相邻区域 间方向角结构的联系可以视作一个马尔可夫随机场. 本文利用嵌入式隐马尔可夫模型对指纹方向场进行建模分析, 通过合理地 抽取指纹的类型特征, 构造观察向量、进行建模训练, 然后利用训练好的马尔可夫模型进行匹配, 最终提出并实现了一种新的鲁 棒性强且精度较高的指纹分
Gibbs
- 吉布斯分布代码，常用于马尔科夫随机场分割和识别-Gibbs distribution code, commonly used for Markov Random Field segmentation and recognition
higher-order-energy.tar
- (iccv11)Graph Cut Higher-Order MRF，马尔科夫随机场的高阶能量优化。-(Iccv11) Graph Cut Higher-Order MRF, Markov random high-level energy optimization.
mmse_mrf_demo-1.1
- 图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative
mrfdemo-1.8.tar
- 马尔科夫随机场算法的全部源码。你可以从中学习到该算法的编程思路。让你的图像变得更灵巧好用！-Markov random algorithm all the source code. You can learn a programming ideas of the algorithm. Let your image becomes more dexterous handy!
matlab-MRF-toy-examples
- 压缩感知中置信传播和马尔可夫随机场的全部源代码-Compressed sensing belief propagation and Markov random field full source code
MRF
- 利用马尔科夫随机场和吉布斯分布来进行图像处理，将图像分为不同区域-The use of markov random field and gibbs distribution for image processing, image can be divided into different areas
MRF-grubcut
- 通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法-By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes
Automatica
- 应用于移动传感器网络的高效贝叶斯空间预测方案-Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
EM-MRF-ICM
- 基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码-EM-based Markov random-ICM image segmentation procedures, good learning code
Fifield-RemoteOperatingSystemDetection
- A non-parametric method for texture synthesis proposed. The texture synthesis process grows a new image outward from an initial seed, one pixel at a time. A Markov random field model is assumed, and the conditional distribution of a pixel giv
HuntLinKulkarni-PredictingCourseGrades
- Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately,
perez_98
- markov random field in C-markov random field in C++
GLSICM4
- 利用过绿色作为分类方法，分成两类后，应用马尔科夫随机场进行分割。-Made use of green as the classification method, after divided into two categories, the application of Markov random segmentation.
HGLSA4
- 基于马尔科夫随机场的过绿色模拟退火的分割方法程序，包含如何建立马尔科夫随机场。-Markov random field segmentation method for green program based on simulated annealing, including how to build the Markov random field.