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Measure properties of 3-D volumetric image regions

`stats = regionprops3(BW,properties)`

`stats = regionprops3(CC,properties)`

`stats = regionprops3(L,properties)`

`stats = regionprops3(___,V,properties)`

measures a set of properties for each connected component (object) in the 3-D
volumetric binary image `stats`

= regionprops3(`BW`

,`properties`

)`BW`

. The output
`stats`

is a table with height (number of rows) equal to the
number of objects in `BW`

. The variables (columns) of the table
denote different properties for each region, as specified by
`properties`

.

For all syntaxes, if you do not specify the `properties`

argument, `regionprops3`

returns the `'Volume'`

,
`'Centroid'`

, and `'BoundingBox'`

measurements.

measures a set of properties for each connected component (object) in
`stats`

= regionprops3(`CC`

,`properties`

)`CC`

, which is a structure returned by
`bwconncomp`

. The output `stats`

is a MATLAB
table with height (number of rows) equal to `CC.NumObjects`

. The CC
structure must represent a 3-D image, that is, `CC.ImageSize`

must
be a 1-by-3 vector. The CC structure must also have been created using a 3-D
connectivity value, such as 6, 18, or 26. For more information, see `bwconncomp`

.

measures a set of properties for each labeled region in the 3-D label matrix
`stats`

= regionprops3(`L`

,`properties`

)`L`

. Positive integer elements of `L`

correspond to different regions. For example, the set of elements of
`L`

equal to 1 corresponds to region 1, the set of elements
of `L`

equal to 2 corresponds to region 2, and so on. The output
`stats`

is a MATLAB table with height (number of rows) equal
to `max(L(:))`

.

measures a set of properties for each labeled region in the 3-D volumetric grayscale
image `stats`

= regionprops3(___,`V`

,`properties`

)`V`

. The first input (BW, CC, or L) identifies the regions
in `V`

. The sizes must match: `size(V)`

must
equal `size(BW)`

, `CC.ImageSize`

, or
`size(L)`

.

[1] Lehmann, Gaetan and David
Legland, *Efficient N-Dimensional surface estimation using Crofton formula and
run-length encoding*, http://hdl.handle.net/10380/3342

[2] Shoemake, Ken,
*Graphics Gems IV* Edited by Paul S. Heckbert, Morgan Kaufmann,
1994, Pg 222-229.

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