Matlab implementation of Expectation Maximization

Imefungwa Ilichapishwa Mar 11, 2004 Kulipwa wakati wa kujifungua

$10-40 USD

Kulipwa wakati wa kujifungua

Imefungwa Kulipwa wakati wa kujifungua

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.

Idea:

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.

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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.

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