Skip to content

Parallel Grayscale Segmentation using 1D K-Mean using MPI and OpenMP.

Notifications You must be signed in to change notification settings

mfaw/Parallel-Grayscale-Segmentation-using-1D-K-Mean

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 

Repository files navigation

Parallel-Grayscale-Segmentation-using-1D-K-Mean

Parallel Grayscale Segmentation using 1D K-Mean using MPI and OpenMP.

This project uses K-Means to segment RGB image to grayscale segmentation and RGB segmentation. First the segmentaion is implemented sequentially, then using OpenMP and MPI.

RGB Segmentation using OpenMP

  • Using 16 clusters

image

  • Using 20 clusters

image

  • Using 10 clusters

image

Grayscale Segmentation using OpenMP

  • Using 16 clusters

image

  • Using 20 clusters

image

  • Using 10 clusters

image

About

Parallel Grayscale Segmentation using 1D K-Mean using MPI and OpenMP.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published