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Watershed transform

`L = watershed(A)`

`L = watershed(A,conn)`

returns
a label matrix `L`

= watershed(`A`

)`L`

that identifies the watershed
regions of the input matrix `A`

, which can have
any dimension. The watershed transform finds "catchment basins" or
"watershed ridge lines" in an image by treating it as a surface where
light pixels represent high elevations and dark pixels represent low
elevations. The elements of `L`

are integer values
greater than or equal to `0`

. The elements labeled `0`

do
not belong to a unique watershed region. The elements labeled `1`

belong
to the first watershed region, the elements labeled 2 belong to the
second watershed region, and so on. By default, `watershed`

uses
8-connected neighborhoods for 2-D inputs and 26-connected neighborhoods
for 3-D inputs. For higher dimensions, `watershed`

uses
the connectivity given by `conndef(ndims(A),'maximal')`

.

The watershed transform algorithm used by this function changed in version 5.4 (R2007a) of the Image Processing Toolbox™ software. The previous algorithm occasionally produced labeled watershed basins that were not contiguous. If you need to obtain the same results as the previous algorithm, use the function

`watershed_old`

.

`watershed`

uses the Fernand Meyer algorithm [1].

[1] Meyer, Fernand, "Topographic distance
and watershed lines," *Signal Processing *,
Vol. 38, July 1994, pp. 113-125.

`bwdist`

| `bwlabel`

| `bwlabeln`

| `regionprops`

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