2. Task Image Processing An image processing system extracts 2 features x1 and 2 from objects and classifies the objects into 2 classes by means of a nave Bayes Classifier. The labeled data for the training phase are as follows: r4lace1 Clnes? After training the image processing extracts from an unknown object the feature vector x=(90,139)T a) Execute the training phase and calculate all steps in detail. b) After training, classify the feature vector x=(90,139)T extracted from an object with unknown class. Calculate all steps in detail and explain on which decision criterium your decision is based on. c) What is the difference between the (general) Bayes Classifier and the naive Bayes Classifier regarding their formulars and area of applications (or assumptions). 3. Task Image Processing Calculate slope and y-intercept of the straight line shown in the image plane by means of the Hough Transformation. Justify your result. Explain the relationship between the elements in image plane and accumulation plane