Re: [scikit-image] Image intensity measure.regionprops

regionprops(b, a) > > rp[0].mean_intensity # 4 > rp[0].intensity_image # contains a zero, making the mean of this < 4 > > > > On Fri, Jul 14, 2017 at 12:23 AM, Cedric Espenel <cedric.espe...@gmail.com > > wrote: > >> Hi scikit-image users/devs,

[scikit-image] Image intensity measure.regionprops

Hi scikit-image users/devs, I'm using skimage.measure.regionprops and I'm little bit confused about a result I get with it. I'm working with a zstack of a microscopy image that I have segmented/label and I'm trying to get the mean intensity of the labeled region: region_props =

Re: [scikit-image] Why does img_as force incoming data

Hi Dave, I think this scikit-image should answers your questions: http://scikit-image.org/docs/stable/user_guide/data_types.html Best, Cedric On Wed, Jun 21, 2017 at 4:30 PM David Protter wrote: > Thank you! Will this also work going back the other way? (Float to

Re: [scikit-image] Segmentation

Hi, Sorry, I guess I can just mask the result with the watershed segmentation. I guess I wonder if it is the proper way to do it? And also, from your point of view, if it's the way to go to segment these cells or if you think of a better way? Cedric

[scikit-image] Segmentation

Hi everyone, I work on a project where I try to track cell and cell division over-time. If cells are well separated, a simple watershed is fine, however, if cells start to overlap it doesn't work anymore. If I had another step using random walker followed by a "join_segmentations" I can split