I need to implement Expectation Maximization through the use of Matlab for image segmentation. The basic idea is below from previous work done.
Not only would I need a working set of codes but I'll need guidance to understand both EM and the codes fully.
A sequence of images(eg. 20 frames) input into the framework codes which make use of EM to produce background models.(eg. 3 background models each with a mean and variance)
A current(test frame) image is being compared with the background models.
3 D-matrices are produced using D=I-mu/sigma (something like this) and the min is taken :
D=min(D(:,:,1), D(:,:,2), D(:,:,3));
Thresholding is done next (i.e. map=<5)
Blobs are formed for connected component analysis.
Small regions are removed for better performance.
With our expertise in MatLab and the track record with scientific software development experience, we can complete this and we will give you free support for 6 months.