Short answer, no.

If your surface is convex, you could threshold the surface elements you
need by first running the extract surface filter, then generating cell
normals, then using the calculator to extract the x component of the cell
normals, then thresholding all cells with the x component of the normal
greater than 0.  The remaining steps are the same as those you sent from
the transform filter on.

If your surfaces are not convex, perhaps you should consider an
image-based computation.  Set up the camera as in the instructions you
sent.  Then figure out the cross-sectional area of the screen and multiply
that by the ratio of pixels covered by the object to the total number of
pixels.  This ratio would probably be easiest computed if the object color
was set to black and the background to anything else.  Perhaps one of the
Python gurus could give some hints as to how to automate some of this.

-Ken



On 12/13/11 6:37 PM, "Paul McIntosh" <[email protected]>
wrote:

>Hi,
>
>Hopefully an easy question to answer...
>
>"Select Cells On" is "visible" resolution dependent. By this I mean, for
>the
>same selection area, if I am close to the surface I get all the cells
>selected but if I am far away many cells are missed.
>
>I am calculating frontal area of a large object where I cannot get the
>whole
>object selected and get close enough to see all the individual cells. The
>result is missing cells which are mucking up my calculation. Is there an
>easy way to get all cells selected on a large object?
>
>Note: I am using this method for working out frontal area:
>http://www.discretizer.org/node/20
>
>Cheers,
>
>Paul
>---
>www.internetscooter.com
>
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