Posted by
thuraya on
URL: http://imagej.273.s1.nabble.com/quantify-the-fibers-with-the-red-color-tp5003734p5003743.html
first of all thanks alot but i'm alittle confused
i used the green channel as you said cuase it's the best
then i did these steps but it didn't give me your result
: - image , adjust, threshold
- set to 155 ,227
- run subtract background
it did't give me these result at all ... please help me ,,
---------- Forwarded message ----------
From: Pang, Zhengyu (GE Global Research) <
[hidden email]>
Date: Tue, Jul 2, 2013 at 9:57 PM
Subject: Re: quantify the fibers with the red color
To:
[hidden email]
[cid:image001.png@01CE773C.911CCD10]
I used the following macro to quantify the area. There is some artifact due
to the edge circle,
run("Split Channels");
selectWindow("image4072-001.jpg (green)"); // I like to use green as it is
darkest in red, providing best contrast.
setAutoThreshold("Default dark");
//run("Threshold...");
run("Measure");
run("Subtract Background...", "rolling=50 light");
setThreshold(155, 227);
run("Measure");
My estimation is 121097/1044914, about 11% of area (partial circle).
121097 is the pixel number for the red color, 10440914 is the pixels within
the circle.
-----Original Message-----
From: ImageJ Interest Group [mailto:
[hidden email]] On Behalf Of John
Hayes
Sent: Tuesday, July 02, 2013 3:41 PM
To:
[hidden email]
Subject: Re: quantify the fibers with the red color
Hi,
Can you tell us what you need to quantify about the dense red fibers in the
image? The number of reddish pixels, the length of the fibers in the
imaging field, etc.???
In any case, I recommend starting by splitting the RGB into separate
channels, and thresholding the red channel to your liking to identify what
you think is signal and exclude the noise... Then, « quantify » based on
whatever is physiologically-relevant to your case, but it's unclear what
that is right now.
Best,
John
Le 2 juil. 2013 à 21:32, Thuraya Medhat a écrit :
> i need to quantify the dense red color in the image please help me...
>
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