After being armed by all the necessary tools of image processing, now it is time to return to Homework 2 and try to use those features for classification. Use training and test image sets given below in order to test success rate of Bayesian classifier. 

There are 30 images in the training set belonging to 3 classes. Compute the features you've implemented in the second homework for these images in order to find parameters of normal distributions for each class, and try to classify test images. Be careful! Your code should also be able to reject unknown parts! 

Training images(.bmp version)  Test images(.bmp version)

Training images(.jpg version)  Test images(.jpg version)

For every code you write/develop during the course, following specs are REQUIRED:

           Sufficient comments for each code and each procedure,

            One hard-copy of the code, and the file itself.

PLEASE TRY YOUR CODE BEFORE DELIVERY