Posted by
karo03 on
Feb 07, 2009; 9:35am
URL: http://imagej.273.s1.nabble.com/Bark-texture-analysis-tp3693818p3693819.html
Hi, texture analysis is always difficult since it is mostly not clear
what to measure, not only for novices. One reason might be the lacking
description of the differences to detect.
However, one way to tackle the problem is to try to "peel off" the
texture by certain filter operations. Try first with smoothing and
looking at the difference (the residue), then with non-linear
operations e.g. non-linear Gaussian or opening/closing (on grey
images, not binary), always considering the residue. Opening/closing
is helpful to "peel off" either the dark or the bright parts, which
might be helpful for bark.
Texture analysis is still a problem!
Best regards
Karsten
Am 06.02.2009 um 15:23 schrieb Chantel Davies:
> Dear Listers,
>
> I need advice on how to conduct a texture analysis of tree bark
> (trembling
> aspen, or Populus tremula).
>
> I have a set of 300 raw images taken at a specific distance from
> each tree,
> with a region of interest of 500x500 pixels selected for the analysis.
> The trees are all the same species but grow in clones which have
> differences
> in certain physical characteristics - one of which seems to be bark
> texture.
> I can recognise these differences by eye, but I would like to
> quantify the
> differences in a sound and scientifically robust way.
>
> Since I am new to imageJ and digital image analysis, I don't really
> know how
> I should proceed, and I have read of a range of methods for this
> type of work.
> Would anyone have suggestions or recommendations on how to begin? I
> believe
> I need to standardise the images first, then do an analysis of some
> description - any ideas?
>
> Best wishes,
>
> Chantel Davies
Karsten
[hidden email]