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On Mon, Oct 3, 2016, at 15:07, Juan Nunez-Iglesias wrote: > 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[1]. >>>> 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[2]. >> 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/CA%2BJHcKSEAv4UkT6yyiyN70J210TZ4coyizYzcPuk1zC0zgjijw%40mail.gmail.com[3]. > For more options, visit https://groups.google.com/d/optout. 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