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measure diameter (tickhness) from binairy picture

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circ.JPG
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lab.JPG
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Is this a special plug-in?

or is goes this with the basic labview programming

and vision software?

 

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VDM
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Thanks, If I get stuck on some point I will post again 🙂

 

thank you for the help, I think you gave me some usefull things 🙂

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Chantal wrote:

Thanks, If I get stuck on some point I will post again 🙂

 

thank you for the help, I think you gave me some usefull things 🙂


Yup and do update...:smileywink:

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Message 16 of 64
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I would consider using IMAQ Distance or IMAQ Danielsson (same palette as Find Circle).  Both do essentially the same thing - they give the binary pixels values equal to their distance from the edge of the particle.  For example, all the pixels on the outer edge will be 1.  All the pixels in the next layer will be 2.  It continues in until all the pixels are given a value.  If you then use IMAQ Quantify to find out the largest pixel value in the image, you will know the radius of the widest part in pixels.  It will probably give you the same accuracy as Find Circle, but would be much faster and easier.

 

Bruce

Bruce Ammons
Ammons Engineering
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I ran a quick test, and it appears to work pretty well.  The only problem I see with this method (which is also present in the Find Circle method) is that the largest diameters will be measured where the veins branch.  There is one spot in the center of the image that has several branches coming together that will measure much larger than the diameter of any vein.

 

I don't see an easy way to ignore the branch areas at the moment.

 

Bruce

Bruce Ammons
Ammons Engineering
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This code filters out the big circles that form branches.

 

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Today I work futher on this problem, and I will look what works best for me 🙂

Working with the circels gives a quite good image about the thickness of the nerves,

only I need to program it that the user can see how thick everythgin is etc. 🙂

 

and KevinC I use Labview 8.2 so I can't open it 🙂 Hope you can save it as an older

version so I can see what you have done! thanks 🙂

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