🚀 go-pugleaf

 spl@ivem.ucsd.edu (Steve Lamont) writes:
>In article <C0ozIH.AMJ@compsci.liverpool.ac.uk> chris47@uxb.liv.ac.uk (Chris Brown ) writes:
>>Well you could help me by finding a method to automatically edge detect
>>the cardiac shadow on cardio angiograms
>
>Well, I suppose I could. :-)
>
>There are a number of edge detection algorithms.  The usually involve
...description of Sobel filter omitted...

In the cardiac shadow domain, you could exploit:
* the fact that the edge is moving, so you can use motion-enhanching
techniques like image differencing
* the fact that the edge has a roughly known shape, ie, a long slowly
curving arc, which can be exploited to generate better matched filters

The more you know about what you're looking at, the better you can be
at detecting it.  If you know that its motion is smooth, you can exploit
this better.

Check out the books recommended, and if your budget allows hire an EE type who knows how to code, or a CS type who knows somthing about image processing.

--
David Honig

"Q: What does a C programmer say to an Ada(tm) programmer?
 A: I'll have a burger and fries, no onions."