Description
1. Automatically locate the number plate in the following image. (Available in
numberplates.zip from Blackboard). You may try a 2D cross-correlation with a
template matching the plate border, but you will probably need to ‘chamfer’ the
template by convolving with a Gaussian or some other blurring function. You’ll
also need a good edge detector such as the Canny Edge detector. Test your method
on some other example car images from numberplates.zip.
In your report discuss methods used, problems encountered, performance, and
possible solutions. Comment on the problems encountered in plate extraction and
the difficulties in designing a general plate extractor.
(10 Marks)
2. You are provided with a video of a pantograph which provides the electrical power
to a train (Eric_Video.avi). The electrical cable slides across the carbon brush of
the pantograph in a zig zag manner. Your task is to graph the position of the power
cable on the pantograph over time from the video. Note that both the suspension
cable and the power cable are visible and that we only want to track the power
cable. Note further that at some times in the video there are two or more power
cables visible. We only want to track the lowest cable which is powering the train.
See if you can work out a way to separate the cables.
(10 Marks)
Remember to demonstrate your solution to the tutors in class so that they can assign
you a mark. The aim is not to get a perfect answer, but to show that you know how
to approach the problem and can describe the image analysis challenges. Therefore
your assignment needs considerable focus on method selection, algorithms, and
discussion of the results obtained. The assignment should be presented in the form
of a brief report including code, images, and descriptive text.
(Total: 20 Marks)
