Description
Image Processing and Computer Vision
1. Use the Hough transform to find the four straight lines of the water feature border in
this image and project them back onto the original image. Note that the minarets
are tilted out by a few degrees, so they look vertical to the observer and to avoid
them crashing into the dome during an earthquake. See if you can estimate the
angle of tilt of each tower.
It is also possible to code this using the Radon transform in Matlab, see the tutor.
(Image available on Blackboard site). Note there is a Hough Transform function in
Matlab, but I would like students also try to implement this transform from first
principles and then compare the results.
(5 Marks)
Figure 1 Taj Mahal
2. Design an algorithm to determine the cross-sectional area of the heart in this MRI
Image Sequence of a working heart. An example image is given; the other images
are on the Blackboard site along with sample segmentations. By examining the
cross-sectional area over time, a cardiologist can determine the efficiency of the
heart. This is especially important diagnostic information for cardiologists after
patients have had heart attacks.
Suggest you examine snakes, morphology and related methods to solve this
problem.
See site for book on related work in segmentation.
Sambhunath Biswas and Brian C. Lovell (2007) Bezier and Splines in Image
Processing and Machine Vision, Springer
For your report, you should determine area of the heart in each image example, and
provide commented code, a description of your methods, and why you chose them.
Your algorithm should be able to work on the entire set of images without
modification or parameter adjustment. If possible, produce a movie of your
segmented image stream and a graph of cross-sectional area versus time.
Figure 2 MRI Image of Heart
(15 Marks)
(Total 20 Marks)
Outer wall of left ventricle
Inner wall of left ventricle
