thank you for your reply.
I tried to use the Morpholibj plugin to get those distances, this is what I achieved.
- I skeletonized the thresholded image.
- I applied the Geodesic Distance Map function (MorphoLibJ -> Binary Images -> Geodesic Distance Map), using the skeleton as the marker and the thresholded image as the mask.
- The result is the LUT image attached; please note that I had to convert the image to jpeg, because for some reason I can not upload the LUT image as generated by ImageJ.
- I exported the LUT in a readable format i.e. a table listing for each index the value of red, green and blue (Image -> Color -> Show LUT and then click on List…)
- The list is attached
I have a couple of questions I hope you can help me out with.
- The table exported from the LUT image has 256 lines: they seem to me a very few number; maybe ImageJ exports just a little part of the data?
- How can I read the results? For example, at the index 111 I have the following values: red = 215, green=32, blue = 38; how can I get a distance from those numbers?
- How can I understand what point of the circle a certain index refers to? Actually, this is not really important, because I have to find the maximum, minimum and mean value, not in what point they are, but maybe in the future I will have to find also this datum.
Many thanks for your help,
LUT.zip (1.4 KB)