April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
If you run the code snippets and plot the input and result images, you will get a figure like the following one:
The GaussianMixture class from scikit-learn's mixture module was used to implement the GMM. The parameters of a Gaussian mixture distribution can be estimated (with MLE) using this class.
We created two instances of the GaussianMixture class: one for the skin (fitted on the skin samples) another for the NonSkin (fitted on the nonskin samples).
The fit() method of this class was used to estimate the parameters of the GMM with the EM algorithm.
The score() method of this class was used to compute the log-likelihood ...
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