different. b) Produce a binary image of the data in Figure 3a) by setting a threshold at 1.0, then, with the following kernels perform the requested morphological operations: i) Erode with
A robotic production system uses a camera to identify the edge of machine parts. It does this to
ensure the quality control of the production line. Two things need to be measured accurately: the
position of the edge of the piece and the angle of the edge. A small region of the image is shown in
Figure 3a.
i) From the formula sheet provided select a suitable edge detection method. Justify your
choice.
ii) Calculate the magnitude of the edge along row 3. Ignore the edge of the image where the
edge cannot be calculated.
iii) Calculate the angle of the first edge found in row 3. Ignore the edge of the image where
the edge cannot be calculated.
iv) An alternative method would be to calculate the 2nd order moment of the image by
thresholding the image such that all pixels above the threshold 0.5 are 1.0 and all pixels
below the threshold are 0.0. Calculate the angle of the object using this method.
v) Explain why the results are slightly different.
b) Produce a binary image of the data in Figure 3a) by setting a threshold at 1.0, then, with the
following kernels perform the requested morphological operations:
i) Erode with
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