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Re: measure length of many parallel lines?

Posted by Michael Schmid on Apr 29, 2013; 7:48am
URL: http://imagej.273.s1.nabble.com/measure-length-of-many-parallel-lines-tp5002827p5002841.html

Hi R,

don't unpack anything, just save GHT_.jar into your plugins folder (that's also what is recommended ion the web page of the plugin)

For how to use it, see the PDF file.
Note that it's not self-explanatory and you have to follow the instructions. If you don't, you will get error messages that are not necessarily saying what is wrong.

Michael
________________________________________________________________
On Apr 27, 2013, at 19:38, sombreroduck wrote:

> Thanks for the tip!
> I tried downloading it, unpacked to the plugin/analyze folder, but when
> compiling it always gives me a "plugin or class not found". I've had a bit
> of a look around the file, but can't see what it's complaining about. Does
> it require another plugin/macro? there seems to be one called "GHT_", but I
> can't see any reference to it in the code.
> Cheers again!
> R
>
>
> On 27 April 2013 15:43, David Webster [via ImageJ] <
> [hidden email]> wrote:
>
>> Try using a linear Hough Transform to detect the lines. There is one in
>> ImageJ's plugin library.
>>
>>
>> On Sat, Apr 27, 2013 at 1:18 AM, sombreroduck <[hidden email]<http://user/SendEmail.jtp?type=node&node=5002829&i=0>>wrote:
>>
>>
>>> Hi,
>>> We have images with many more-or-less parallel lines. We can measure the
>>> spacing with FFT, but is there a way to measure all their lengths?
>> (and/or
>>> the distribution of) Either if there is a function that could do this,
>> or
>>> if
>>> I could write a plugin/macro?
>>>
>>> We're looking for a software solution to extract the numbers since
>>> measuring
>>> them by hand, one at a time, could be subjective (because we know what
>> the
>>> theory says), plus there will be many hundreds of them...
>>>
>>> I've appended an example image, just to give you an idea of what I'm
>>> talking
>>> about. Others might have several, smaller areas with similar lines (but
>> if
>>> need be we could crop them...)
>>>
>>> Cheers!
>>> R
>>>
>>> <http://imagej.1557.x6.nabble.com/file/n5002827/isoPP.png>
>>>
>>>
>>>
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