Closed Red-Portal closed 5 years ago
I'm just starting with Julia but I though I could help, although it's a pretty old post. The result is good, you are just missing a step. You need to mask the area that are not part of the beads as so:
imshow(labels_map(segments).* ~bw)
Thanks for the answer. I think we'll have to update the example documentation sometime
I guess it's a lot of work but I usually work with scikit-image and their Gallery is extremely useful. I'm actually in the process of trying several juliaimages function and compare them side by side with scikit-image just to be sure that I'm consistent when I work with Julia. Also to see if Julia function are any faster.
That's really great. I think you could also compare with opencv-python and matlab. These are also really popular tools in the imaging community
Is this fixed or do the docs still need updating? (Note it's almost trivial to do this yourself, see https://help.github.com/articles/editing-files-in-another-user-s-repository/)
I just added a "landing page" for demos that's directly inspired by scikit-image's page (see #29), as well as instructions in the README about how to add more demos. I'd love to receive contributions.
running
leads to![image](https://user-images.githubusercontent.com/18320033/36075954-f70c801c-0f98-11e8-98ce-946dbb5e8022.png)
Is this result correct?