Skip to content

python implementation of MRF for hyperspectal image segmetation

Notifications You must be signed in to change notification settings

shiruizhao/MRF_Gibbs

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

#Examples

Change Point Model

This model was developed to learn the MCMC technologies. Gibbs sampler and HMC have been learned. Three different models were implements. Two of them used Gibbs sampling based on Scipy and Pyro, separately, The rest one was based on No-U-Turn Sampling (HMC).

Change point model

Color Image Segementation

[code] It developed EM Algorithm for image segmentation.

cd example/mrf_example
python image_segmentation.py

zebra zebra mask zebra foregroud zebra background

Image Denoising

[code] Image denoising using Gibbs sampling and Ising model developed Gibbs sampling and Ising model for image denoising. The denoise function has bugs.

cd example/mrf_example
python image_denoising.py

Noise Pic Denoise Pic

Hyperspectual Image Segemenation

About

python implementation of MRF for hyperspectal image segmetation

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages