c. Below are an edge template T and a binary image I which is the result of pre-processing an image to locate the edges. T=111101111,I=0000010111010111 Calculate the result of performing edge matching on the image, and hence, suggest the location of the object depicted in the edge template assuming that there is exactly one such object in the image. Calculate the distance between the template and the image as the average of the minimum distances between points on the edge template (T) and points on the edge image (I). Only consider those locations where the template fits entirely within the image. [5 marks] d. A production line produces two objects ( A and B) which are sorted into separate bins using a computer vision system controlling a robot arm. The two objects have distinct shapes from most viewpoints. However, when object A lies at orientation 1 it is indistinguishable from object B lying at orientation 2 . It is known that the production line produces four times as many of object A than object B. It is also known that the probability of object A lying at orientation 1 is 0.02, while the probability of object B lying at orientation 2 is 0.04. Use Bayes' theorem to determine the bin into which the robot should sort an object which could be either object A at orientation 1 or object at orientation 2 in order to minimise the number of errors. [7 marks]