http://imagej.273.s1.nabble.com/Color-thresholding-and-obtaining-Lab-values-tp5020700p5020723.html
Dr. Sheffield,
Thank you for the suggestion. I have tried analyze particles with different
properly. It seems that this is only effective when the image is a
background. It is possible that the color thresholding does not work quite
User's Manual. But then why are the beans segregated with the yellow lines
Lab values from that area.
> You can set a range in Analyze particles to exclude small dots, and even
> certain shape parameters. Look at the menu options. Also, consider using
> the watershed procedure to isolate specific beans - if that is important to
> you.
>
>
>
> Joel B. Sheffield, Ph.D
> Department of Biology
> Temple University
> Philadelphia, PA 19122
> Voice: 215 204 8839
> e-mail:
[hidden email]
> URL: *
https://bio.cst.temple.edu/~jbs/ <
https://bio.cst.temple.edu/~jbs/>
> <
http://tinyurl.com/khbouft>*
>
> On Tue, May 22, 2018 at 7:52 PM, Rie Sadohara <
[hidden email]>
> wrote:
>
> > Dr. Sheffiled,
> >
> > Thank you for the suggestion. I have already tried it, but it recognizes
> > numerous small dots (very very tiny compared to the beans) as particles,
> > and ignores the beans in the image. I do not know why, but it does not
> work
> > as I would like it to.
> >
> > Rie
> >
> > On 22 May 2018 at 19:15, Joel Sheffield <
[hidden email]> wrote:
> >
> > > How about using Analyze Particles?
> > >
> > >
> > >
> > > Joel B. Sheffield, Ph.D
> > > Department of Biology
> > > Temple University
> > > Philadelphia, PA 19122
> > > Voice: 215 204 8839
> > > e-mail:
[hidden email]
> > > URL: *
https://bio.cst.temple.edu/~jbs/ <
https://bio.cst.temple.edu/~
> > jbs/>
> > > <
http://tinyurl.com/khbouft>*
> > >
> > > On Tue, May 22, 2018 at 5:13 PM, Rie Sadohara <
[hidden email]>
> > > wrote:
> > >
> > > > Hello all,
> > > >
> > > > I am trying to get Lab values from images of yellow beans. There are
> > some
> > > > black and white parts in the image, so I want to remove those parts
> and
> > > > measure the yellowness of the bean seeds. Below are the steps I took,
> > but
> > > > Lab values are calculated from the entire image. Could someone tell
> me
> > > how
> > > > to do it right?
> > > >
> > > > 1. Open --> Open my photo, which is an RGB color image.
> > > > 2. Image --> Adjust --> Color threshold... --> Then set the threshold
> > of
> > > > L* value to be 71-216 so that the black and white parts will be
> > excluded.
> > > > --> Select.
> > > > 3. The yellow parts (of which I want to know the Lab values) are
> > circled
> > > > with yellow lines now.
> > > > 4. Image --> Type --> Lab stack.
> > > > 5. Analyze --> Measure. for each stack (L, a, and b)
> > > > 6. The returned Lab values are based on the entire image. It works as
> > > > though there had been no color thresholding.
> > > >
> > > > My understanding is that the parts that are circled with bright
> yellow
> > > > lines after color thresholding are the area that are going to be used
> > for
> > > > Lab measurements? (Please see the attachment. In the image, the
> yellow
> > > > parts (my ROI) are segregated correctly, but how can I get Lab values
> > out
> > > > of this region?)
> > > >
> > > > Any advice would be greatly appreciated,
> > > >
> > > > Rie
> > > >
> > > >
> > > > --
> > > > ImageJ mailing list:
http://imagej.nih.gov/ij/list.html> > > >
> > >
> > > --
> > > ImageJ mailing list:
http://imagej.nih.gov/ij/list.html> > >
> >
> >
> >
> > --
> > ------------------------------------------------------------
> > ----------------------------------------------------------
> > *Rie** Sadohara *
> > Graduate Research Assistant
> > Department of Plant, Soil and Microbial Sciences
> > Michigan State University
> > Plant and Soil Science Building
> > 1066 Bogue St, Room A364
> > East Lansing, MI 48824
> > Email: *
[hidden email] <
[hidden email]>*
> > Find delicious bean recipes here:
> > *
https://colorfulhealthfulflavorfulblog.wordpress.com/> > <
https://colorfulhealthfulflavorfulblog.wordpress.com/>*
> > ------------------------------------------------------------
> > -------------------
> > ----------------------------------------
> >
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>
> --
> ImageJ mailing list:
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