http://imagej.273.s1.nabble.com/Pixel-count-via-RGB-range-tp3686979p3686982.html
ok, I see. I have uploaded a new version of the Versatile Wand that
given pixel.
-- Attribute table: this question is a different topic.
image properties (including the info) are saved with it. There you
can also store your own data. Is this what you are looking for?
Otherwise, please start a separate thread in the discussion for it.
> Thanks Michael, that worked great. I'd love to automate this
> process but I
> imagine that would be difficult because the user has to select the
> pixel?
>
> Is there any way to build an attribute table for the image? I've
> done this
> with a licensed GIS software but I'd rather use something that is open
> source.
>
>
> On Fri, Sep 10, 2010 at 4:05 AM, Michael Schmid
> <
[hidden email]>wrote:
>
>> Hi John,
>>
>> one option might be the Versatile Wand
>>
>>
>>
http://imagejdocu.tudor.lu/doku.php?
>> id=plugin:segmentation:versatile_wand:start
>>
>> (the link should be one line).
>>
>> Use Connectedness 'Non-Contiguous', Gradient Tolerance off (0),
>> Include
>> Holes off.
>>
>> If you select the tool, click on a pixel with the typical color
>> and then
>> open the Versatile Wand Options (dobule click the tool icon). You
>> can use
>> preview and play with the tolerance and Color sliders to get the best
>> result.
>> Then, Analyze>Measure will give you the area selected (make sure that
>> 'Area' is selected in Set Measurements).
>>
>> Michael
>> ________________________________________________________________
>>
>>
>> On 8 Sep 2010, at 23:46, John Carpenter wrote:
>>
>> Hello,
>>>
>>> I'd like to use this software for digital vegetation profiles.
>>> The idea is
>>> to place a 0.5m x 0.5m white background (drop cloth, poster
>>> board,etc.) in
>>> a
>>> field plot and take a picture of it from a certain distance. I'd
>>> then crop
>>> out just the half meter square area to analyze.
>>>
>>> I suspect that the leaves and twigs would have a fairly small RGB
>>> range,
>>> as
>>> compared to the white background, that I could specify and then have
>>> ImageJ
>>> count the pixels in that range. All that's left is to divide by that
>>> number
>>> by the total pixels to get a percent cover of vegetation.
>>>
>>> If someone could point me in the right direction on how to do
>>> this with
>>> ImageJ I would be very grateful.
>>>
>>> Thanks!
>>>
>>