Mailman 3 September 2013 - scikit-image

Re: Request: usage examples, demos, testimonials
by Jostein Bø Fløystad Sept. 2, 2013

Sept. 2, 2013

I used random_walker for 3D segmentation in the publication below: http://pubs.acs.org/doi/abs/10.1021/ma3021163 However, the memory requirements of the function were too high to allow processing the data set all in one piece, so I'm not sure I'd recommend this as a showcase. Jostein 2013/9/1 Stéfan van der Walt <stefan(a)sun.ac.za> > Hello, everyone > > I'd like to give a talk on scikit-image at the upcoming PyCon ZA [1]. > If you have any examples of the use of scikit-image in research or > industry, I'd love to hear about it. Also, impressive demo scripts > (like Stuart Mumford's sun warping), even if you can just share > snapshots, would be very valuable. > > Thanks! > Stéfan > > [1] http://za.pycon.org/ > > -- > 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+unsubscribe(a)googlegroups.com. > For more options, visit https://groups.google.com/groups/opt_out. >

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Re: Get border pixels of labelled region
by Payal Gupta Sept. 2, 2013

Sept. 2, 2013

code: import Image from skimage import segmentation as seg,io img = Image.open("IMG_1.jpg" , 'r') bimg =seg.find_boundaries(img) io.imshow(bimg) error: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Anaconda\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 523, in runfile execfile(filename, namespace) File "C:\Users\Dell\Documents\Python Scripts\final_try.py", line 12, in <module> bimg =seg.find_boundaries(img) File "C:\Anaconda\lib\site-packages\skimage\segmentation\boundaries.py", line 10, in find_boundaries boundaries = np.zeros(label_img.shape, dtype=np.bool) File "C:\Anaconda\lib\site-packages\PIL\Image.py", line 512, in __getattr__ raise AttributeError(name) AttributeError: shape On Mon, Sep 2, 2013 at 8:27 PM, Stéfan van der Walt <stefan(a)sun.ac.za>wrote: > On Mon, Sep 2, 2013 at 4:48 PM, Payal Gupta <erpayal2010(a)gmail.com> wrote: > > but this syntax segmentation.find_boundaries(img) not work > > where img is an image > > Unless you send us a code snippet (e.g. on https://gist.github.com), > there is nothing we can do to help. > > Stéfan > > -- > You received this message because you are subscribed to a topic in the > Google Groups "scikit-image" group. > To unsubscribe from this topic, visit > https://groups.google.com/d/topic/scikit-image/rXRS0KT2PdU/unsubscribe. > To unsubscribe from this group and all of its topics, send an email to > scikit-image+unsubscribe(a)googlegroups.com. > For more options, visit https://groups.google.com/groups/opt_out. >

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Re: Get border pixels of labelled region
by Stéfan van der Walt Sept. 2, 2013

Sept. 2, 2013

On Mon, Sep 2, 2013 at 4:48 PM, Payal Gupta <erpayal2010(a)gmail.com> wrote: > but this syntax segmentation.find_boundaries(img) not work > where img is an image Unless you send us a code snippet (e.g. on https://gist.github.com), there is nothing we can do to help. Stéfan

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find_boundaries
by Payal Gupta Sept. 2, 2013

Sept. 2, 2013

hi all... i m using skimage module of scikit image. in image i wanna find all boundaries of all object in a image but i dont know the syntax of find_boundaries this syntax gives error... anyone know the full syntax of find_boundaries and what the meaning of levei_img plz reply me... payal

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Dividing a large image into smaller overlapping blocks for parallel processing
by Riaan van den Dool Sept. 1, 2013

Sept. 1, 2013

Hi guys I would like to use scikit-image to process large images, for example (5696, 13500). In the interest of speed I need to divide the image into smaller sub-images with the possibility of processing these in parallel. If I define the sub-images so that neighbouring sub-images overlap then edge effects should not be a problem for the algorithm operating on each sub-image. This is probably a specific case of the more general border/edge-effect handling issue as addressed by the mode parameter here: http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.filters.c… My questions: 1. Is there already a image-division function/strategy implemented in scikit-image? 2. Is this something that might be included in future if an implementation is available? 3. Please share any references to articles or code that deals with this. Riaan

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Request: usage examples, demos, testimonials
by Stéfan van der Walt Sept. 1, 2013

Sept. 1, 2013

Hello, everyone I'd like to give a talk on scikit-image at the upcoming PyCon ZA [1]. If you have any examples of the use of scikit-image in research or industry, I'd love to hear about it. Also, impressive demo scripts (like Stuart Mumford's sun warping), even if you can just share snapshots, would be very valuable. Thanks! Stéfan [1] http://za.pycon.org/

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