Matlab: Image Processing through Expectation Maximization
$10-100 USD
Cerrado
Publicado hace alrededor de 20 años
$10-100 USD
Pagado a la entrega
I need to implement Expectation Maximization through the use of Matlab for image segmentation. The basic idea is below from previous work done. A framework of codes and a possible set of EM codes can be provided but modifications need to be 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.
ID del proyecto: 445
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3 propuestas
Proyecto remoto
Activo hace 17 años
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3 freelancers están ofertando un promedio de $400 USD por este trabajo
We are a group of young professionals completed our masters degree in computer application from one of the best universities in India . We have done a good number of freelancing projects in .NET applications VC++, VB, C, C++ and Matlab and are looking forward to establish long-term business relationship. we guarenty a well documented work in the end with technical perfection
the bid posted is approximate we will finalize on the time and amount after getting the details
Conversant with the EM algorithm and Gibbs sampling to compute maximum likelihood estimates given incomplete samples. 1 year experience in working with MATLAB. Research publication in 3D Image processing.