scikit-image October 2013

scikit-image@python.org

27 participants
74 discussions

Re: CIELUV Transformations
by Isaac Gerg 23 Oct '13

23 Oct '13

As I understand it, they simply could not agree on a single standard and felt both must be approved. That is as much as i can get out of the literature. On Wed, Oct 23, 2013 at 9:17 AM, Stéfan van der Walt <stefan(a)sun.ac.za>wrote: > On Wed, Oct 23, 2013 at 2:14 PM, Isaac Gerg <isaac.gerg(a)gergltd.com> > wrote: > > I am seeing some chatter on github about the differences between CIELUV > and > > CIELAB. My understanding is that the committee could not agree on a > single > > standard and didnt feel they could approve CIELAB alone. > > Did they provide some motivation as to why not, or why both standards > are needed? > > 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/DIRaSXJoEes/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: CIELUV Transformations
by Isaac Gerg 23 Oct '13

23 Oct '13

I am seeing some chatter on github about the differences between CIELUV and CIELAB. My understanding is that the committee could not agree on a single standard and didnt feel they could approve CIELAB alone. Isaac On Monday, October 21, 2013 3:19:33 AM UTC-4, Stefan van der Walt wrote: > > On Wed, Oct 16, 2013 at 11:29 PM, Isaac Gerg <isaac...(a)gergltd.com<javascript:>> > wrote: > > According to "Principles of Color Technology" by Roy S. Berns, it is a > myth > > that" CIELAB was recommended for large color differences and tha tCIELUV > was > > recommended for small color differences." It is also a myth that > "CIELAB is > > recommended for reflecting samples while CIELUV is recommended for > sources > > and displays." The second myth is what I originally stated as fact but > is > > incorrect. > > This makes for good docstrings! > > Stéfan >

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Re: ANN: scikit-image 0.9.0
by Johannes Schönberger 21 Oct '13

21 Oct '13

http://mail.scipy.org/pipermail/scipy-user/2013-October/035095.html Am 21.10.2013 um 09:25 schrieb Stéfan van der Walt <stefan(a)sun.ac.za>: > On Mon, Oct 21, 2013 at 8:46 AM, Stéfan van der Walt <stefan(a)sun.ac.za> wrote: >> Weird--it was sent from my system, but clearly did not get posted to >> the list. Let me try again. > > I posted again--still doesn't look like it went through, but no > response from the list server either. The numpy-discussion post went > through (I can see it in the archive). If you are subscribed to > scipy-user, perhaps try to post there? > > Thanks > Stéfan > > -- > 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: ANN: scikit-image 0.9.0
by Stéfan van der Walt 21 Oct '13

21 Oct '13

On Mon, Oct 21, 2013 at 8:46 AM, Stéfan van der Walt <stefan(a)sun.ac.za> wrote: > Weird--it was sent from my system, but clearly did not get posted to > the list. Let me try again. I posted again--still doesn't look like it went through, but no response from the list server either. The numpy-discussion post went through (I can see it in the archive). If you are subscribed to scipy-user, perhaps try to post there? Thanks Stéfan

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Re: CIELUV Transformations
by Isaac Gerg 21 Oct '13

21 Oct '13

I have completed the changes to colorconv.py so that luv is now supported. Whom do I email the file to so that it can be included in the repo? Isaac On Friday, October 11, 2013 1:22:57 PM UTC-4, Stefan van der Walt wrote: > > On Fri, Oct 11, 2013 at 5:38 PM, Isaac Gerg <isaac...(a)gergltd.com<javascript:>> > wrote: > > I am limited on time but am happy to provide code if someone can put it > into > > github for me. > > Sure, a patch is just fine. > > Thanks! > Stéfan >

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Re: ANN: scikit-image 0.9.0
by Johannes Schönberger 21 Oct '13

21 Oct '13

> I sent one to scipy-user, but please go ahead and post anywhere else you see fit. Just use the latest version of the release notes (s removed from name). Strange… I did not receive it and cannot see it in the archives either.

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Re: ANN: scikit-image 0.9.0
by Johannes Schönberger 20 Oct '13

20 Oct '13

> Thanks, you rock. I've removed 0.9.2. I guess, you forgot to push the updated tags. Did you have time to send ANN to other mailing lists or do you want me to do it? Johannes

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Re: ANN: scikit-image 0.9.0
by Johannes Schönberger 19 Oct '13

19 Oct '13

Kudos to everyone involved in this release! Thanks Stefan for making this nice feature list. Am 19.10.2013 um 16:28 schrieb Stéfan van der Walt <stefan(a)sun.ac.za>: > Announcement: scikits-image 0.9.0 > ================================= > > We're happy to announce the release of scikit-image v0.9.0! > > scikit-image is an image processing toolbox for SciPy that includes algorithms > for segmentation, geometric transformations, color space manipulation, > analysis, filtering, morphology, feature detection, and more. > > For more information, examples, and documentation, please visit our website: > > http://scikit-image.org > > > New Features > ------------ > > `scikit-image` now runs without translation under both Python 2 and 3. > > In addition to several bug fixes, speed improvements and examples, the 204 pull > requests merged for this release include the following new features (PR number > in brackets): > > Segmentation: > > - 3D support in SLIC segmentation (#546) > - SLIC voxel spacing (#719) > - Generalized anisotropic spacing support for random_walker (#775) > - Yen threshold method (#686) > > Transforms and filters: > > - SART algorithm for tomography reconstruction (#584) > - Gabor filters (#371) > - Hough transform for ellipses (#597) > - Fast resampling of nD arrays (#511) > - Rotation axis center for Radon transforms with inverses. (#654) > - Reconstruction circle in inverse Radon transform (#567) > - Pixelwise image adjustment curves and methods (#505) > > Feature detection: > > - [experimental API] BRIEF feature descriptor (#591) > - [experimental API] Censure (STAR) Feature Detector (#668) > - Octagon structural element (#669) > - Add non rotation invariant uniform LBPs (#704) > > Color and noise: > > - Add deltaE color comparison and lab2lch conversion (#665) > - Isotropic denoising (#653) > - Generator to add various types of random noise to images (#625) > - Color deconvolution for immunohistochemical images (#441) > - Color label visualization (#485) > > Drawing and visualization: > > - Wu's anti-aliased circle, line, bezier curve (#709) > - Linked image viewers and docked plugins (#575) > - Rotated ellipse + bezier curve drawing (#510) > - PySide & PyQt4 compatibility in skimage-viewer (#551) > > Other: > > - Python 3 support without 2to3. (#620) > - 3D Marching Cubes (#469) > - Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440) > - N-dimensional array padding (#577) > - Add a wrapper around `scipy.ndimage.gaussian_filter` with useful > default behaviors. (#712) > - Predefined structuring elements for 3D morphology (#484) > > > API changes > ----------- > > The following backward-incompatible API changes were made between 0.8 and 0.9: > > - No longer wrap ``imread`` output in an ``Image`` class > - Change default value of `sigma` parameter in ``skimage.segmentation.slic`` > to 0 > - ``hough_circle`` now returns a stack of arrays that are the same size as the > input image. Set the ``full_output`` flag to True for the old behavior. > - The following functions were deprecated over two releases: > `skimage.filter.denoise_tv_chambolle`, > `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, > `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. > Their functionality still exists, but under different names. > > > Contributors to this release > ---------------------------- > > This release was made possible by the collaborative efforts of many > contributors, both new and old. They are listed in alphabetical order by > surname: > > - Ankit Agrawal > - K.-Michael Aye > - Chris Beaumont > - François Boulogne > - Luis Pedro Coelho > - Marianne Corvellec > - Olivier Debeir > - Ferdinand Deger > - Kemal Eren > - Jostein Bø Fløystad > - Christoph Gohlke > - Emmanuelle Gouillart > - Christian Horea > - Thouis (Ray) Jones > - Almar Klein > - Xavier Moles Lopez > - Alexis Mignon > - Juan Nunez-Iglesias > - Zachary Pincus > - Nicolas Pinto > - Davin Potts > - Malcolm Reynolds > - Umesh Sharma > - Johannes Schönberger > - Chintak Sheth > - Kirill Shklovsky > - Steven Silvester > - Matt Terry > - Riaan van den Dool > - Stéfan van der Walt > - Josh Warner > - Adam Wisniewski > - Yang Zetian > - Tony S Yu > > -- > 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: ANN: scikit-image 0.9.0
by Christoph Gohlke 19 Oct '13

19 Oct '13

Hello, scikit-image-0.9.0.tar.gz is missing the file skimage\color\tests\ciede2000_test_data.txt causing test errors. Christoph On 10/19/2013 7:28 AM, StÃ¯Â¿Â½fan van der Walt wrote: > Announcement: scikits-image 0.9.0 > ================================= > > We're happy to announce the release of scikit-image v0.9.0! > > scikit-image is an image processing toolbox for SciPy that includes algorithms > for segmentation, geometric transformations, color space manipulation, > analysis, filtering, morphology, feature detection, and more. > > For more information, examples, and documentation, please visit our website: > > http://scikit-image.org > > > New Features > ------------ > > `scikit-image` now runs without translation under both Python 2 and 3. > > In addition to several bug fixes, speed improvements and examples, the 204 pull > requests merged for this release include the following new features (PR number > in brackets): > > Segmentation: > > - 3D support in SLIC segmentation (#546) > - SLIC voxel spacing (#719) > - Generalized anisotropic spacing support for random_walker (#775) > - Yen threshold method (#686) > > Transforms and filters: > > - SART algorithm for tomography reconstruction (#584) > - Gabor filters (#371) > - Hough transform for ellipses (#597) > - Fast resampling of nD arrays (#511) > - Rotation axis center for Radon transforms with inverses. (#654) > - Reconstruction circle in inverse Radon transform (#567) > - Pixelwise image adjustment curves and methods (#505) > > Feature detection: > > - [experimental API] BRIEF feature descriptor (#591) > - [experimental API] Censure (STAR) Feature Detector (#668) > - Octagon structural element (#669) > - Add non rotation invariant uniform LBPs (#704) > > Color and noise: > > - Add deltaE color comparison and lab2lch conversion (#665) > - Isotropic denoising (#653) > - Generator to add various types of random noise to images (#625) > - Color deconvolution for immunohistochemical images (#441) > - Color label visualization (#485) > > Drawing and visualization: > > - Wu's anti-aliased circle, line, bezier curve (#709) > - Linked image viewers and docked plugins (#575) > - Rotated ellipse + bezier curve drawing (#510) > - PySide & PyQt4 compatibility in skimage-viewer (#551) > > Other: > > - Python 3 support without 2to3. (#620) > - 3D Marching Cubes (#469) > - Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440) > - N-dimensional array padding (#577) > - Add a wrapper around `scipy.ndimage.gaussian_filter` with useful > default behaviors. (#712) > - Predefined structuring elements for 3D morphology (#484) > > > API changes > ----------- > > The following backward-incompatible API changes were made between 0.8 and 0.9: > > - No longer wrap ``imread`` output in an ``Image`` class > - Change default value of `sigma` parameter in ``skimage.segmentation.slic`` > to 0 > - ``hough_circle`` now returns a stack of arrays that are the same size as the > input image. Set the ``full_output`` flag to True for the old behavior. > - The following functions were deprecated over two releases: > `skimage.filter.denoise_tv_chambolle`, > `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, > `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. > Their functionality still exists, but under different names. > > > Contributors to this release > ---------------------------- > > This release was made possible by the collaborative efforts of many > contributors, both new and old. They are listed in alphabetical order by > surname: > > - Ankit Agrawal > - K.-Michael Aye > - Chris Beaumont > - FranÃ¯Â¿Â½ois Boulogne > - Luis Pedro Coelho > - Marianne Corvellec > - Olivier Debeir > - Ferdinand Deger > - Kemal Eren > - Jostein BÃ¯Â¿Â½ FlÃ¯Â¿Â½ystad > - Christoph Gohlke > - Emmanuelle Gouillart > - Christian Horea > - Thouis (Ray) Jones > - Almar Klein > - Xavier Moles Lopez > - Alexis Mignon > - Juan Nunez-Iglesias > - Zachary Pincus > - Nicolas Pinto > - Davin Potts > - Malcolm Reynolds > - Umesh Sharma > - Johannes SchÃ¯Â¿Â½nberger > - Chintak Sheth > - Kirill Shklovsky > - Steven Silvester > - Matt Terry > - Riaan van den Dool > - StÃ¯Â¿Â½fan van der Walt > - Josh Warner > - Adam Wisniewski > - Yang Zetian > - Tony S Yu >

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ANN: scikit-image 0.9.0
by Stéfan van der Walt 19 Oct '13

19 Oct '13

Announcement: scikits-image 0.9.0 ================================= We're happy to announce the release of scikit-image v0.9.0! scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. For more information, examples, and documentation, please visit our website: http://scikit-image.org New Features ------------ `scikit-image` now runs without translation under both Python 2 and 3. In addition to several bug fixes, speed improvements and examples, the 204 pull requests merged for this release include the following new features (PR number in brackets): Segmentation: - 3D support in SLIC segmentation (#546) - SLIC voxel spacing (#719) - Generalized anisotropic spacing support for random_walker (#775) - Yen threshold method (#686) Transforms and filters: - SART algorithm for tomography reconstruction (#584) - Gabor filters (#371) - Hough transform for ellipses (#597) - Fast resampling of nD arrays (#511) - Rotation axis center for Radon transforms with inverses. (#654) - Reconstruction circle in inverse Radon transform (#567) - Pixelwise image adjustment curves and methods (#505) Feature detection: - [experimental API] BRIEF feature descriptor (#591) - [experimental API] Censure (STAR) Feature Detector (#668) - Octagon structural element (#669) - Add non rotation invariant uniform LBPs (#704) Color and noise: - Add deltaE color comparison and lab2lch conversion (#665) - Isotropic denoising (#653) - Generator to add various types of random noise to images (#625) - Color deconvolution for immunohistochemical images (#441) - Color label visualization (#485) Drawing and visualization: - Wu's anti-aliased circle, line, bezier curve (#709) - Linked image viewers and docked plugins (#575) - Rotated ellipse + bezier curve drawing (#510) - PySide & PyQt4 compatibility in skimage-viewer (#551) Other: - Python 3 support without 2to3. (#620) - 3D Marching Cubes (#469) - Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440) - N-dimensional array padding (#577) - Add a wrapper around `scipy.ndimage.gaussian_filter` with useful default behaviors. (#712) - Predefined structuring elements for 3D morphology (#484) API changes ----------- The following backward-incompatible API changes were made between 0.8 and 0.9: - No longer wrap ``imread`` output in an ``Image`` class - Change default value of `sigma` parameter in ``skimage.segmentation.slic`` to 0 - ``hough_circle`` now returns a stack of arrays that are the same size as the input image. Set the ``full_output`` flag to True for the old behavior. - The following functions were deprecated over two releases: `skimage.filter.denoise_tv_chambolle`, `skimage.morphology.is_local_maximum`, `skimage.transform.hough`, `skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`. Their functionality still exists, but under different names. Contributors to this release ---------------------------- This release was made possible by the collaborative efforts of many contributors, both new and old. They are listed in alphabetical order by surname: - Ankit Agrawal - K.-Michael Aye - Chris Beaumont - François Boulogne - Luis Pedro Coelho - Marianne Corvellec - Olivier Debeir - Ferdinand Deger - Kemal Eren - Jostein Bø Fløystad - Christoph Gohlke - Emmanuelle Gouillart - Christian Horea - Thouis (Ray) Jones - Almar Klein - Xavier Moles Lopez - Alexis Mignon - Juan Nunez-Iglesias - Zachary Pincus - Nicolas Pinto - Davin Potts - Malcolm Reynolds - Umesh Sharma - Johannes Schönberger - Chintak Sheth - Kirill Shklovsky - Steven Silvester - Matt Terry - Riaan van den Dool - Stéfan van der Walt - Josh Warner - Adam Wisniewski - Yang Zetian - Tony S Yu

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scikit-image October 2013