Prospective algorithmic approach for this image in OpenCV [closed]

asked 2014-12-01 01:54:23 -0600

Raoul gravatar image

updated 2017-11-12 06:43:45 -0600

sturkmen gravatar image

I am looking for advice from people having extensive experience with computer vision. I have a collection of ultrasonographic B&W images like the one below (without the stars and dotted line):

ultrasonographic image of blood vessel

What I would like to do is detect the contour of a blood vessel (for example, the one highlighted by the yellow star). Of course my first step would be to define the ROI and maximize the contrast. But what would then be the best algorithm to use? Segmentation with the watershed algorithm? Something else? I am little unsettled because of the image blur...

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Closed for the following reason question is not relevant or outdated by sturkmen
close date 2020-10-10 14:10:06.250373

Comments

I think you should try it and then post what you do not like. To me, it seems to be good the watershed after histogram equalization or CLAHE.

thdrksdfthmn gravatar imagethdrksdfthmn ( 2014-12-01 10:03:19 -0600 )edit
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