Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
1 post
|
Hi,
I've got difficulties selecting the brown color from this image using color threshold. Do you know if there is a special filter for brown (DAB) or do you have a tip ?? thanks Sebastian COSTA -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
2136 posts
|
Hi Sebastian,
your image has bad compression artifacts (JPG compression). Assuming these are absent in the original image, I guess that 'Threshold Color' in HSB Color space should work reasonably well. Select low brightness (e.g. 0-110) and low Hue values (e.g. up top 120). Michael ________________________________________________________________ On Sep 16, 2013, at 11:24, Sebastian COSTA wrote: > Hi, > I've got difficulties selecting the brown color from this image using color threshold. > Do you know if there is a special filter for brown (DAB) or do you have a tip ?? > > thanks > Sebastian COSTA -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
10 posts
|
In reply to this post by Sebastian COSTA
Hi,
I think that you should try *Colour Deconvolution* plug-in (link here<http://www.dentistry.bham.ac.uk/landinig/software/cdeconv/cdeconv.html>) or the *Trainable Weka Segmentation* in FIJI (link here<http://fiji.sc/Trainable_Weka_Segmentation> ). Enjoy! -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
28 posts
|
In reply to this post by Sebastian COSTA
hello
also color segmentation with manual selection works well. http://bigwww.epfl.ch/sage/soft/colorsegmentation/ best wishes carlo-bologna ________________________________ Da: Sebastian COSTA <[hidden email]> A: [hidden email] Inviato: Lunedì 16 Settembre 2013 11:24 Oggetto: Image J Hi, I've got difficulties selecting the brown color from this image using color threshold. Do you know if there is a special filter for brown (DAB) or do you have a tip ?? thanks Sebastian COSTA -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
21 posts
|
In reply to this post by Sebastian COSTA
Sebastian,
A trick that might help is to split the image into three color channels, then divide the green channel by the red one with 32bit result. The brown regions should be easier to segment. Regards, John D.
|
Loading... |
Reply to author |
Edit post |
Move post |
Delete this post |
Delete this post and replies |
Change post date |
Print post |
Permalink |
Raw mail |
1783 posts
|
Sebastian COSTA wrote
> I've got difficulties selecting the brown color from this image using > color threshold. > Do you know if there is a special filter for brown (DAB) or do you have a > tip ?? The majority of cases of histological stains for optical (brightfield) microscopy, the dyes combine "subtractively", so classifying pixels (eg Colour Threshold plugin) that contain mixtures of 2 or more dyes without considering the contribution of each dye separately carries a considerable and uncontrollable error. The ideal solution to this problem is colour deconvolution (read the paper by A. Ruifrok), where you separate the colour image into the original contribution of each dye. There is a plugin for this, but note that not all dyes behave as expected (where optical density is a function of concentration, DAB is one of them) and most important immunostains are no stoichiometric reactions, so you can't really associate with any reliability the intensity of stain to amount of reactant. Note that you won't get any good results with lossy JPEG images. You also need background-corrected images for the colour deconvolution to work. Hope this helps. Gabriel -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
Free forum by Nabble | Disable Popup Ads | Edit this page |