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Matlab implementation of Expectation Maximization

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.

기술:

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고용주 소개:
( 0건의 리뷰 ) Singapore

프로젝트 ID: #399

이 프로젝트의 입찰 현황은 다음과 같습니다. 입찰자: 3명, 평균 입찰가: $1033

rijish

Hai 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++, 더 보기

$1000 USD (30일 이내)
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sonutn

We need to have a detailed discussion before finalising [login to view URL]

$2000 USD (20일 이내)
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bijli4bid

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.

$99 USD (5일 이내)
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