If you only have inner contours I think the fastest thing to do is to get back to a labeled dataset, which you could probably do e.g. with watershed. Seems a bit overkill though... You definitely can't get labels upstream in the process?
On Tue, Oct 4, 2016 at 3:11 AM Jaime Lopez Carvajal <jalop...@gmail.com> wrote: > Hi Juan, > > Thank you for suggestion, I am going to take a look, but maybe I need a > different approach because the contour (list) of every object in image, > which were extracted after an image segmentation process. > > So, I would like to know if there is a way to compare contours (comparing > lists) between objects to find shared coordinates, but I think this is not > possible because I have the inner contours of every object, so I will not > find any coordinates coincidence between pair of objects. > > I hope this make my issue clearer. > > Any other idea? > > Thanks, Jaime > > > > On Saturday, October 1, 2016 at 9:48:07 PM UTC-5, Juan Nunez-Iglesias > wrote: > > Hi Jaime, > > Sorry, it seems your message got lost in our flooded inboxes... > > What does your source image look like? If the objects are segmented into > different labels, that is, you have an image where all the pixels of object > 1 have value 1, all those of object 2 have value 2, etc., then you can > build a *region adjacency graph*, or RAG, with the right values to get what > you need. This function in scikit-image master gets you the contour lengths > between different objects, from which it should be easy to get the > information you want: > > > https://github.com/scikit-image/scikit-image/blob/master/skimage/future/graph/rag.py#L359 > > By looking at the source code you might get even simpler code for your > problem, because you just need the `count_matrix` sparse matrix. It should > be super-fast to generate and compute the values you need. > > Juan. > > On Thu, Sep 15, 2016 at 7:29 AM, Jaime Lopez Carvajal <jalo...@gmail.com> > wrote: > > Hi, > > I would like to know if someone could help or suggest any idea how to do > this: > > First, I am trying to know how many neighbors (objects) one particular > object have using its contour. > Second, I need to extract the length of each shared contour with every > neighbor, > Third, calculate their respective percentage. > > The last step is the easiest, but I dont know how to get the first and > second steps. > > Example using attached image: > > Object of interest: red object > Neighbors: three neighbors with three shared contours (yellow, green and > blue). > Total length contour = lengh(yellow) + lengh(yellow) + lengh(yellow) > > Any suggestion how can I get this? > > Thanks in advance, Jaime > > -- > You received this message because you are subscribed to the Google Groups > "scikit-image" group. > > To unsubscribe from this group and stop receiving emails from it, send an > email to scikit-image...@googlegroups.com. > To post to this group, send email to scikit...@googlegroups.com. > > > To view this discussion on the web, visit > https://groups.google.com/d/msgid/scikit-image/191cefe6-7274-45f7-b266-41bb92d64428%40googlegroups.com > <https://groups.google.com/d/msgid/scikit-image/191cefe6-7274-45f7-b266-41bb92d64428%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > > -- > You received this message because you are subscribed to the Google Groups > "scikit-image" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to scikit-image+unsubscr...@googlegroups.com. > To post to this group, send email to scikit-image@googlegroups.com. > To view this discussion on the web, visit > https://groups.google.com/d/msgid/scikit-image/a6416656-7d8e-4a41-a465-c968047c18be%40googlegroups.com > <https://groups.google.com/d/msgid/scikit-image/a6416656-7d8e-4a41-a465-c968047c18be%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/CA%2BJHcKSEAv4UkT6yyiyN70J210TZ4coyizYzcPuk1zC0zgjijw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
