Canny edge detector demos
There are some results of applying Canny edge detector to real image (The
black and white image "lena.gif" we used here was obtained by translating from
a color lena.tiff using matlab. So it might not be the standard BW "lena".)
The thresholding parameter alfa is fix as 0.1. The size of the filters is also
fixed as 10*10.
These images are all gray images though they might seem a little strange
in your browser. To see them more clearly, just click these images and you will
find the difference especially from the "result images", that is, the titled
"after thinning" ones. The safe way to see the correct display of these
images is to grab these images and show them by "xv" or "matlab". While, you are
encouraged to use the given matlab codes and get these images in matlab by
yourself. Try to change the parameters to get more sense about how these
parameters affect the edge detection.
The results of choosing the standard deviation sigma of the edge detectors
as 3.
lena.gif  vertical edges  horizontal edges






norm of the gradient  after thresholding  after thinning






The results of choosing the standard deviation sigma of the edge detectors
as 1.
lena.gif  vertical edges  horizontal edges






norm of the gradient  after thresholding  after thinning






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