🚀 go-pugleaf

Patrick ChengSan Teo (teo@Xenon.Stanford.EDU) wrote:
: In article <1993Jan21.192619.10241@pinet.aip.org> scotj@pinet.aip.org (scot_shinderman) writes:
: 
: 
: >    While reading the standard image processing books I have noticed one
: > algorithm that seems to be glossed over: contour tracing.  In the
: > pictures that I am scanning, a filter is run across the pixels and a
: > threshold is applied to produce either white or black pixels for the
: > grey-scale.  At this point there is usually a rather disconnected set of
: > dots due to noise in the picture but also some strong edges from the
: > filter.  What is the "pratical" method of moveing along the detected
: > pixels to find lines (or curves).  If I try to step from one pixel to
: > the next by looking in a neighborhood, then the path almost always gets
: > caught up in the noise off to one side or another.  Is there a way to
: > "nudge" the search in a particular direction based on previous motions.
: >   Any suggestions (or sample code!) would be greatly appreciated.
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I know the feeling well as I am having the same problem with the edges of
cardioangiograms. I haven't solved the problem yet but I am messing about
along the lines of keeping the image well segmented whilst averaging. Hence 
developing a noisless thick boundary.
After that well .....
I anybody does come up with some constructive ideas I should be most
appreciative

Thanks

Chris

chris47@uxb.liv.ac.uk