MATLAB: Classification using Naive Bayes classifier

classificationpattern frecognition

I want to classify some segmented region into two class A and B using Naive Bayes classifier using some extracted features of that image. How can I computed the probability of each features

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Look at lots of pictures and see how often each feature is present. Not sure what else to say or how to answer.

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MATLAB: Naive Bayes

"training" is used to train a classifier (pass it to FIT method), and "sample" is used to test the classifier performance on data not used for training (pass it to PREDICT method). for example:

O1 = NaiveBayes.fit(training,group);
C1 = O1.predict(sample);
cMat1 = confusionmat(sampleGroup,C1);

where sampleGroup is an array of true class labels for the predictor matrix in "sample".

MATLAB: Classification problem using bayes classifier

You have a training set where you know how many regions there are and what classes they belong to. From that you can easily determine the probability.

Then, for a test image, you calculate the probability that your test region belongs to each class, and assign it to the class that it has higher probability of belonging to.

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MATLAB: Naive Bayes

MATLAB: Classification problem using bayes classifier

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