File Exchange

image thumbnail

HMRF-EM-image

version 1.7 (812 KB) by

Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

32 Downloads

Updated

View License

In this project, we study the hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. We implement a MATLAB toolbox named HMRF-EM-image for 2D image segmentation using the HMRF-EM framework. This toolbox also implements edge-prior-preserving image segmentation, and can be easily reconfigured for other problems, such as 3D image segmentation.

Comments and Ratings (6)

Michael

Can this code be applied to images with more than one channel, i.e. where each pixel is characterized by more than one gray value?

dag

dag (view profile)

Compiling the mex files seems to have made most morphological image processing (imopen, imclose, etc.) functions unstable and continue to crash MATLAB. Any suggestions?

Balu

Balu (view profile)

How can i use this for multispectral classification with PCA ?

Siqi

Siqi (view profile)

Thanks!

Octa

Octa (view profile)

The program is working properly.

Can you suggest how to apply it for segmenting gray matter from an MRI Scan Image?

Thank you.

Updates

1.7

Rewrote several minor parts in C++.

1.6

Minor bugs have been fixed.

MATLAB Release
MATLAB 7.7 (R2008b)

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video