Why my corrected image has non-uniform scaling (mm/pixel)?

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  My plugin attracts thousands of circular particles. It also applies blurs. At a given time in its history, the plugin called elliptic particles and not uniform stump in order to deal with non square go and ratios downsample odd (which uses these ratios, seriously?). However, it was pointed out that I should really work internally with pixels square and then, if necessary, stretch the rendering to the dimensions of the output, which is a logical proposal.

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  Thank you

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  honestly, I wouldn't bother... I don't see any "custom" of pixel size, and I'm pretty happy with it ;-)

  But if you really want to, you can use the smallest factor of downsample.

  Divide per min (downSample.X, downSample.Y), working with the "square" calculation and stretch it to fit the output.

  In this way, you can use your plugin with almost no changes in the code, and you keep the best resolution required.

  See you soon,.

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  I use the tool of vision to correct the distortion in images.
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  Hello

  I guess you are referring to "Convert to/from the real world" screws. As far as I understand well as do these screws, they refer only to two "spaces". One is the distorted image of origin (with coordinates in pixels) and the other is the ideal 'real world' space, where this image was generated, with coordinates expressed in all the units you choose. I am concerned about a 'third space', the corrected image generated by the Vi "IMAQ Image of calibrated" correct, and I want to know the point, which, in the real world, has the coordinates (0, 0), where in this picture (if possible with coordinates in fractional pixels, coordinated whole pixels not only).

  I haven't posted my response to Nate, but basically we agreed that what I wanted was not available yet. I have work to do to get this information (as I suspected). It's a shame, because the Vi above obviously knows how to calculate what I'm looking for, because it maps the pixel (or fractional pixel coordinates) where the origin is located in the real world, on an another coordinate (fractional) pixel in the corrected image.

  This may be available in a future release, but for now, some work is needed here...

  X.

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  It could be a problem of path to the background image...

  /Assets/

  assets /.

  Nancy O.
  ALT-Web Design & Publishing
  Web | Graphics | Print | Media specialists
  http://ALT-Web.com/
  http://Twitter.com/ALTWEB

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  Hi all

  As a newbie in LabVIEW, I don't know a lot about machine vision.

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  Also find enclosed all the pictures from the camera.

  PS: Due to budgetary constraints, I use very basic USB cameras available, and the attached picture is the actual image.

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