Re: Measuring Radishes
Posted by
Anderson, Charles (DNR) on
Nov 14, 2013; 9:09pm
URL: http://imagej.273.s1.nabble.com/Measuring-Radishes-tp5005566p5005567.html
The general approach to obtaining shape measurements is simple: Go to Analyze | Set Measurements and check options of interest. Then threshold the image to segment out the parts of interest. Run Analyze | Analyze Particles on the thresholded image. The options of interest will be reported for each particle. Completely segmenting the parts of interest may be the most difficult step (but that is a different question and might require you attach an image).
You might also read
C. Igathinathane et al. 2008. Shape identification and particles size distribution from basic shape parameters using ImageJ. Computers and electronics in agriculture 63:168-182. The three measurements he found useful can be calculated directly from the Analyze Particle outputs. You might find it easier to do the additional calculations with a stats program or spreadsheet than writing a macro for ImageJ. Note that there are several errors in the published code at the end of the paper.
Good luck.
C
-----Original Message-----
From: ImageJ Interest Group [mailto:
[hidden email]] On Behalf Of AgricStudent
Sent: Thursday, November 14, 2013 1:30 PM
To:
[hidden email]
Subject: Measuring Radishes
Hello,
I'm an undergrad student and I'm currently working on the effect of two fertilisers at varying rates and the consequent developmental effect on root crops produced. So far I have managed to quantify the total area of root crops in the photo of each group and the different component areas of the root crop (approx 30 in each sample image).
However I was hoping that some person, who is more imagej savvy might be able to instruct me how I might be able to quantify the shapes in each image. I've tried understanding skeletonising or medial axis, but put simply I wondered if there was a straight-forward process to quantify the mean shape so that the samples could be numerically quantified and compared against each other, to show a trend?
Thanks in advance
ARAG
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