http://imagej.273.s1.nabble.com/Image-Analysis-completing-shapes-in-a-binary-image-tp5013313p5013314.html
> Hi guys,
>
> I am analyzing the growth of ice crystals and I want to create an
> automated image analysis procedure. I process the images as follows:
> - converting to 8-bit grayscale
> - setting the threshold to create a binary image
> - filling holes in the binary image (the ice crystals are bounded by
> a dark edge and their inside is as bright as the background of the
> image)
> - watershed-split (splitting clusters)
> - Measuring and counting the crystals
>
> My problem is that some crystals don’t show a homogeneous dark edge.
> In some spots the edge is too bright for the set threshold values.
> But I can’t change the threshold values because the background noise
> gets too high. So the results in the binary images for these
> inhomogeneous crystals are C-shaped crystals instead of the needed O
> -shaped crystals. It is necessary that the crystals are O-shaped, so
> that they can be filled and split.
> Is there any way to complete these C-shaped crystals, like a reversed
> watershed-split? Dilating, a defined number of cycles, until the
> edges touch and then erode until the original size of the crystals
> are reached and creating a line in between the edges which didn’t
> touch. Or is there any other way to complete these crystals in order
> to get the expected shape?
> Thanks in advance and I’d really appreciate your help.
>
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