def quasiDistance(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
Quasi-distance of image 'imIn'. 'imOut1' contains the residues image
and 'imOut2' contains the quasi-distance (associated function).
The quasi-distance of a greytone image is made of a patch of distance
functions of some almost flat regions in the image. When the image is a
simple indicator function of a set, the quasi-distance and the distance
function are identical.
Depth of 'imOut1' is the same as 'imIn', depth of 'imOut2' is 32.
"""
imWrk1 = mamba.imageMb(imIn, 32)
imWrk2 = mamba.imageMb(imIn, 32)
imWrk3 = mamba.imageMb(imIn, 32)
maskIm = mamba.imageMb(imIn, 1)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
_initialQuasiDist_(imIn, imOut1, imOut2, grid=grid)
mamba.copy(imOut2, imWrk1)
v1 = mamba.computeVolume(imOut2)
v2 = v1 + 1
while v2 > v1:
v2 = v1
mamba.erode(imWrk1, imWrk2, se=se)
mamba.sub(imWrk1, imWrk2, imWrk2)
mamba.threshold(imWrk2, maskIm, 2, mamba.computeMaxRange(imWrk2)[1])
mamba.convertByMask(maskIm, imWrk3, 0, mamba.computeMaxRange(imWrk3)[1])
mamba.logic(imWrk2, imWrk3, imWrk2, "inf")
mamba.subConst(imWrk2, 1, imWrk3)
mamba.logic(imWrk2, imWrk3, imWrk2, "inf") # Patch non saturated subtraction
mamba.sub(imWrk1, imWrk2, imWrk1)
v1 = mamba.computeVolume(imWrk1)
mamba.copy(imWrk1, imOut2)
def mosaicGradient(imIn, imOut, grid=mamba.DEFAULT_GRID):
"""
Builds the mosaic-gradient image of 'imIn' and puts the result in 'imOut'.
The mosaic-gradient image is built by computing the differences of two
mosaic images generated from 'imIn', the first one having its watershed
lines valued by the suprema of the adjacent catchment basins values, the
second one been valued by the infima.
"""
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn)
imWrk4 = mamba.imageMb(imIn)
imWrk5 = mamba.imageMb(imIn)
imWrk6 = mamba.imageMb(imIn, 1)
mosaic(imIn, imWrk2, imWrk3, grid=grid)
mamba.sub(imWrk2, imWrk3, imWrk1)
mamba.logic(imWrk2, imWrk3, imWrk2, "sup")
mamba.negate(imWrk2, imWrk2)
mamba.threshold(imWrk3, imWrk6, 1, 255)
mamba.multiplePoints(imWrk6, imWrk6, grid=grid)
mamba.convertByMask(imWrk6, imWrk3, 0, 255)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
mamba.dilate(imWrk1, imWrk4, se=se)
mamba.dilate(imWrk2, imWrk5, se=se)
while mamba.computeVolume(imWrk3) != 0:
mamba.dilate(imWrk1, imWrk1, 2, se=se)
mamba.dilate(imWrk2, imWrk2, 2, se=se)
mamba.logic(imWrk1, imWrk3, imWrk1, "inf")
mamba.logic(imWrk2, imWrk3, imWrk2, "inf")
mamba.logic(imWrk1, imWrk4, imWrk4, "sup")
mamba.logic(imWrk2, imWrk5, imWrk5, "sup")
mamba.erode(imWrk3, imWrk3, 2, se=se)
mamba.negate(imWrk5, imWrk5)
mamba.sub(imWrk4, imWrk5, imOut)
def lowerGeodesicErode(imIn, imMask, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Performs a lower geodesic erosion of image 'imIn' under 'imMask'.
The result is put inside 'imOut', 'n' controls the size of the erosion.
'se' specifies the type of structuring element used to perform the
computation (DEFAULT_SE by default).
The binary lower geodesic erosion is realised using the fact that the
dilation is the dual operation of the erosion.
Warning! 'imMask' and 'imOut' must be different.
"""
if imIn.getDepth() == 1:
mamba.diff(imMask, imIn, imOut)
lowerGeodesicDilate(imOut, imMask, imOut, n, se=se)
mamba.diff(imMask, imOut, imOut)
else:
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn, 1)
mamba.logic(imIn, imMask, imOut, "inf")
for i in range(n):
mamba.generateSupMask(imOut, imMask, imWrk2, False)
mamba.convertByMask(imWrk2, imWrk1, 0, mamba.computeMaxRange(imWrk1)[1])
mamba.logic(imOut, imWrk1, imOut, "sup")
mamba.erode(imOut, imOut, se=se)
mamba.logic(imOut, imMask, imOut, "inf")
def isotropicDistance(imIn, imOut, edge=mamba.FILLED):
"""
Computes the distance function of a set in 'imIn'. This distance function
uses dodecagonal erosions and the grid is assumed to be hexagonal.
The procedure is quite slow but the result is more aesthetic.
This operator also illustrates how to perform successive dodecagonal
operations of increasing sizes.
"""
if imIn.getDepth() != 1:
mamba.raiseExceptionOnError(core.MB_ERR_BAD_DEPTH)
imOut.reset()
oldn = 0
size = 0
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
mamba.copy(imIn, imWrk1)
while mamba.computeVolume(imWrk1) != 0:
mamba.add(imOut, imWrk1, imOut)
size += 1
n = int(0.4641 * size)
n += abs(n % 2 - size % 2)
if (n - oldn) == 1:
mamba.copy(imWrk1, imWrk2)
mamba.erode(imWrk1, imWrk1, 1, se=mamba.HEXAGON, edge=edge)
else:
mamba.conjugateHexagonalErode(imWrk2, imWrk1, 1, edge=edge)
oldn = n
def mosaicGradient(imIn, imOut, grid=mamba.DEFAULT_GRID):
"""
Builds the mosaic-gradient image of 'imIn' and puts the result in 'imOut'.
The mosaic-gradient image is built by computing the differences of two
mosaic images generated from 'imIn', the first one having its watershed
lines valued by the suprema of the adjacent catchment basins values, the
second one been valued by the infima.
"""
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn)
imWrk4 = mamba.imageMb(imIn)
imWrk5 = mamba.imageMb(imIn)
imWrk6 = mamba.imageMb(imIn, 1)
mosaic(imIn, imWrk2, imWrk3, grid=grid)
mamba.sub(imWrk2, imWrk3, imWrk1)
mamba.logic(imWrk2, imWrk3, imWrk2, "sup")
mamba.negate(imWrk2, imWrk2)
mamba.threshold(imWrk3, imWrk6, 1, 255)
mamba.multiplePoints(imWrk6, imWrk6, grid=grid)
mamba.convertByMask(imWrk6, imWrk3, 0, 255)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
mamba.dilate(imWrk1, imWrk4, se=se)
mamba.dilate(imWrk2, imWrk5, se=se)
while mamba.computeVolume(imWrk3) != 0:
mamba.dilate(imWrk1, imWrk1, 2, se=se)
mamba.dilate(imWrk2, imWrk2, 2, se=se)
mamba.logic(imWrk1, imWrk3, imWrk1, "inf")
mamba.logic(imWrk2, imWrk3, imWrk2, "inf")
mamba.logic(imWrk1, imWrk4, imWrk4, "sup")
mamba.logic(imWrk2, imWrk5, imWrk5, "sup")
mamba.erode(imWrk3, imWrk3, 2, se=se)
mamba.negate(imWrk5, imWrk5)
mamba.sub(imWrk4, imWrk5, imOut)
def _initialQuasiDist_(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
Computes the initial quasi-distance. For internal use only. The resulting
quasi-distance is not lipchitzian (see MM documentation for details).
"""
maskIm = mamba.imageMb(imIn, 1)
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn, 32)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
i = 0
mamba.copy(imIn, imWrk1)
v2 = mamba.computeVolume(imWrk1)
v1 = v2 + 1
imOut1.reset()
imOut2.reset()
while v1 > v2:
i += 1
v1 = v2
mamba.erode(imWrk1, imWrk2, se=se)
mamba.sub(imWrk1, imWrk2, imWrk1)
_generateMask_(imWrk1, imOut1, maskIm)
mamba.convertByMask(maskIm, imWrk3, 0, i)
mamba.logic(imOut1, imWrk1, imOut1, "sup")
mamba.logic(imOut2, imWrk3, imOut2, "sup")
mamba.copy(imWrk2, imWrk1)
v2 = mamba.computeVolume(imWrk1)
def buildOpen(imIn, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Performs an opening by reconstruction operation on image 'imIn' and puts the
result in 'imOut'. 'n' controls the size of the opening.
"""
imWrk = mamba.imageMb(imIn)
mamba.copy(imIn, imWrk)
mamba.erode(imIn, imOut, n, se=se)
mamba.build(imWrk, imOut, grid=se.getGrid())
def buildOpen(imIn, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Performs an opening by reconstruction operation on image 'imIn' and puts the
result in 'imOut'. 'n' controls the size of the opening.
"""
imWrk = mamba.imageMb(imIn)
mamba.copy(imIn, imWrk)
mamba.erode(imIn, imOut, n, se=se)
mamba.build(imWrk, imOut, grid=se.getGrid())
def opening(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Performs an opening operation on image 'imIn' and puts the result in 'imOut'.
'n' controls the size of the opening and 'se' the structuring element used.
The default edge is set to 'FILLED'. Note that the edge setting operates in the
erosion only.
"""
mamba.erode(imIn, imOut, n, se=se, edge=edge)
mamba.dilate(imOut, imOut, n, se=se.transpose())
def opening(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Performs an opening operation on image 'imIn' and puts the result in 'imOut'.
'n' controls the size of the opening and 'se' the structuring element used.
The default edge is set to 'FILLED'. Note that the edge setting operates in the
erosion only.
"""
mamba.erode(imIn, imOut, n, se=se, edge=edge)
mamba.dilate(imOut, imOut, n, se=se.transpose())
def gradient(imIn, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Computes the morphological gradient of image 'imIn' and puts the result in
'imOut'. The thickness can be controlled using parameter 'n' (1 by default).
The structuring element used by the erosion and dilation is defined by 'se'
(DEFAULT_SE by default).
"""
imWrk = mamba.imageMb(imIn)
mamba.erode(imIn, imWrk, n, se=se)
mamba.dilate(imIn, imOut, n, se=se)
mamba.sub(imOut, imWrk, imOut)
def upperGeodesicErode(imIn, imMask, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Performs a upper geodesic erosion of image 'imIn' above 'imMask'.
The result is put inside 'imOut', 'n' controls the size of the erosion.
'se' specifies the type of structuring element used to perform the
computation (DEFAULT_SE by default).
Warning! 'imMask' and 'imOut' must be different.
"""
mamba.logic(imIn, imMask, imOut, "sup")
for i in range(n):
mamba.erode(imOut, imOut, se=se)
mamba.logic(imOut, imMask, imOut, "sup")
def regularisedGradient(imIn, imOut, n, grid=mamba.DEFAULT_GRID):
"""
Computes the regularized gradient of image 'imIn' of size 'n'.
The result is put in 'imOut'. A regularized gradient of size 'n' extracts
in the image contours thinner than 'n' while avoiding false detections.
This operation is only valid for omnidirectional structuring elements.
"""
imWrk = mamba.imageMb(imIn)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
gradient(imIn, imWrk, n, se=se)
whiteTopHat(imWrk, imWrk, n, se=se)
mamba.erode(imWrk, imOut, n-1, se=se)
def erodeByCylinder3D(imInOut, height, section):
"""
Erodes 3D image 'imInOut' using a cylinder with an hexagonal section of size
2x'section' and a height of 2x'height'. The image is modified by this
function. The edge is always set to FILLED.
"""
l = len(imInOut)
for im in imInOut:
mamba.erode(im, im, section, se=mamba.HEXAGON)
provIm3D = m3D.image3DMb(imInOut)
for i in range(l):
mamba.copy(imInOut[i], provIm3D[i])
for j in range(max(0,i-height), min(l,i+height+1)):
mamba.logic(provIm3D[i], imInOut[j], provIm3D[i], "inf")
m3D.copy3D(provIm3D, imInOut)
def cellsErode(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Simultaneous erosion of size 'n' (default 1) of all the cells of the
partition image 'imIn' with 'se' structuring element.
The resulting partition is put in 'imOut'.
'edge' is set to FILLED by default.
This operation works on 8-bit and 32-bit partitions.
"""
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn, 1)
mamba.dilate(imIn, imWrk1, n=n, se=se)
mamba.erode(imIn, imOut, n=n, se=se, edge=edge)
mamba.generateSupMask(imOut, imWrk1, imWrk2, False)
mamba.convertByMask(imWrk2, imWrk1, 0, mamba.computeMaxRange(imIn)[1])
mamba.logic(imOut, imWrk1, imOut, "inf")
def closing(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Performs a closing operation on image 'imIn' and puts the result in 'imOut'.
'n' controls the size of the closing and 'se' the structuring element used.
The default edge is set to 'FILLED'. If 'edge' is set to 'EMPTY', the operation
is slightly modified to avoid errors (non extensivity).
"""
imWrk = mamba.imageMb(imIn)
if edge == mamba.EMPTY:
mamba.copy(imIn, imWrk)
mamba.dilate(imIn, imOut, n, se=se)
mamba.erode(imOut, imOut, n, se=se.transpose(), edge=edge)
if edge == mamba.EMPTY:
mamba.logic(imOut, imWrk, imOut, "sup")
def cellsErode(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Simultaneous erosion of size 'n' (default 1) of all the cells of the
partition image 'imIn' with 'se' structuring element.
The resulting partition is put in 'imOut'.
'edge' is set to FILLED by default.
This operation works on 8-bit and 32-bit partitions.
"""
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn, 1)
mamba.dilate(imIn, imWrk1, n=n, se=se)
mamba.erode(imIn, imOut, n=n, se=se, edge=edge)
mamba.generateSupMask(imOut, imWrk1, imWrk2, False)
mamba.convertByMask(imWrk2, imWrk1, 0, mamba.computeMaxRange(imIn)[1])
mamba.logic(imOut, imWrk1, imOut, "inf")
def closing(imIn, imOut, n=1, se=mamba.DEFAULT_SE, edge=mamba.FILLED):
"""
Performs a closing operation on image 'imIn' and puts the result in 'imOut'.
'n' controls the size of the closing and 'se' the structuring element used.
The default edge is set to 'FILLED'. If 'edge' is set to 'EMPTY', the operation
is slightly modified to avoid errors (non extensivity).
"""
imWrk = mamba.imageMb(imIn)
if edge==mamba.EMPTY:
mamba.copy(imIn, imWrk)
mamba.dilate(imIn, imOut, n, se=se)
mamba.erode(imOut, imOut, n, se=se.transpose(), edge=edge)
if edge==mamba.EMPTY:
mamba.logic(imOut, imWrk, imOut, "sup")
def halfGradient(imIn, imOut, type="intern", n=1, se=mamba.DEFAULT_SE):
"""
Computes the half morphological gradient of image 'imIn' ond puts the result
in 'imOut'.
'type' indicates if the half gradient should be internal or external.
Possible values are :
"extern" : dilation(imIn) - imIn
"intern" : imIn - erosion(imIn)
The thickness can be controlled using parameter 'n' (1 by default). The
structuring element used by the erosion or the dilation is defined by 'se'.
"""
imWrk = mamba.imageMb(imIn)
if type=="extern":
mamba.dilate(imIn, imWrk, n, se=se)
mamba.sub(imWrk, imIn, imOut)
else:
mamba.erode(imIn, imWrk, n, se=se)
mamba.sub(imIn, imWrk, imOut)
def ultimateOpening(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
Ultimate opening of image 'imIn'. 'imOut1' contains the ultimate
opening whereas 'imOut2' contains the granulometric function.
Ultimate opening is obtained by using successive openings by hexagons or
squares as primitive functions depending of the grid in use.
Depth of 'imOut1' is the same as 'imIn', depth of 'imOut2' is 32.
"""
maskIm = mamba.imageMb(imIn, 1)
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn, 32)
imWrk4 = mamba.imageMb(imIn)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
i = 0
mamba.copy(imIn, imWrk1)
v2 = mamba.computeVolume(imWrk1)
mamba.copy(imWrk1, imWrk4)
v1 = v2 + 1
imOut1.reset()
imOut2.reset()
if grid == mamba.HEXAGONAL:
dilation = mamba.largeHexagonalDilate
else:
dilation = mamba.largeSquareDilate
while v1 > v2:
i += 1
v1 = v2
mamba.erode(imWrk4, imWrk4, se=se)
dilation(imWrk4, imWrk2, i)
mamba.sub(imWrk1, imWrk2, imWrk1)
_generateMask_(imWrk1, imOut1, maskIm)
mamba.convertByMask(maskIm, imWrk3, 0, i)
mamba.logic(imOut1, imWrk1, imOut1, "sup")
mamba.logic(imOut2, imWrk3, imOut2, "sup")
v2 = mamba.computeVolume(imWrk4)
mamba.copy(imWrk2, imWrk1)
def strongLevelling(imIn, imOut, n, eroFirst, grid=mamba.DEFAULT_GRID):
"""
Strong levelling of 'imIn', result in 'imOut'. 'n' defines the size of the
erosion and dilation of 'imIn' in the operation. If 'eroFirst' is true, the
operation starts with an erosion, it starts with a dilation otherwise.
This filter is stronger (more efficient) that simpleLevelling. However, the
order of the initial operations (erosion and dilation) matters.
"""
imWrk = mamba.imageMb(imIn)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
if eroFirst:
mamba.erode(imIn, imWrk, n, se=se)
mamba.build(imIn, imWrk, grid=grid)
mamba.dilate(imIn, imOut, n, se=se)
mamba.dualBuild(imWrk, imOut, grid=grid)
else:
mamba.dilate(imIn, imWrk, n, se=se)
mamba.dualBuild(imIn, imWrk, grid=grid)
mamba.erode(imIn, imOut, n, se=se)
mamba.build(imWrk, imOut, grid=grid)
def ultimateErosion(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
General ultimate erosion working on greytone image 'imIn'. 'imOut1'
contains the ultimate eroded function and 'imOut2' contains the
associated function.
This ultimate erosion can be applied to greytone images.
Depth of 'imOut1' is the same as 'imIn', depth of 'imOut2' is 32.
The edge is always set to 'FILLED'.
"""
maskIm = mamba.imageMb(imIn, 1)
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn, 32)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
i = 0
mamba.copy(imIn, imWrk1)
v2 = mamba.computeVolume(imWrk1)
v1 = v2 + 1
imOut1.reset()
imOut2.reset()
while v1 > v2:
i += 1
v1 = v2
mamba.erode(imWrk1, imWrk2, se=se)
mamba.build(imWrk1, imWrk2, grid=grid)
mamba.sub(imWrk1, imWrk2, imWrk2)
_generateMask_(imWrk2, imOut1, maskIm)
mamba.convertByMask(maskIm, imWrk3, 0, i)
mamba.logic(imOut1, imWrk2, imOut1, "sup")
mamba.logic(imOut2, imWrk3, imOut2, "sup")
mamba.erode(imWrk1, imWrk1, se=se)
v2 = mamba.computeVolume(imWrk1)
def ultimateBuildOpening(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
Ultimate opening by build of image 'imIn'. 'imOut1' contains the ultimate
opening whereas 'imOut2' contains the granulometric function.
This ultimate opening is obtained by using successive openings by build.
Depth of 'imOut1' is the same as 'imIn', depth of 'imOut2' is 32.
"""
maskIm = mamba.imageMb(imIn, 1)
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn, 32)
imWrk4 = mamba.imageMb(imIn)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
i = 0
mamba.copy(imIn, imWrk1)
v2 = mamba.computeVolume(imWrk1)
mamba.copy(imWrk1, imWrk4)
v1 = v2 + 1
imOut1.reset()
imOut2.reset()
while v1 > v2:
i += 1
v1 = v2
mamba.erode(imWrk4, imWrk4, se=se)
mamba.copy(imWrk4, imWrk2)
mamba.hierarBuild(imWrk1, imWrk2, grid=mamba.DEFAULT_GRID)
mamba.sub(imWrk1, imWrk2, imWrk1)
_generateMask_(imWrk1, imOut1, maskIm)
mamba.convertByMask(maskIm, imWrk3, 0, i)
mamba.logic(imOut1, imWrk1, imOut1, "sup")
mamba.logic(imOut2, imWrk3, imOut2, "sup")
v2 = mamba.computeVolume(imWrk4)
mamba.copy(imWrk2, imWrk1)
def skeletonByOpening(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID):
"""
General skeleton by openings working on greytone image 'imIn'.
'imOut1' contains the skeleton function and 'imOut2' contains the
associated function.
This skeleton corresponds to the centers of maximal cylinders included
in the set under the graph of the image 'imIn'.
Depth of 'imOut1' is the same as 'imIn', depth of 'imOut2' is 32.
The edge is always set to 'FILLED'.
"""
maskIm = mamba.imageMb(imIn, 1)
imWrk1 = mamba.imageMb(imIn)
imWrk2 = mamba.imageMb(imIn)
imWrk3 = mamba.imageMb(imIn, 32)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
i = 0
mamba.copy(imIn, imWrk1)
v2 = mamba.computeVolume(imWrk1)
v1 = v2 + 1
imOut1.reset()
imOut2.reset()
while v1 > v2:
i += 1
v1 = v2
mamba.opening(imWrk1, imWrk2, se=se)
mamba.sub(imWrk1, imWrk2, imWrk2)
_generateMask_(imWrk2, imOut1, maskIm)
mamba.convertByMask(maskIm, imWrk3, 0, i)
mamba.logic(imOut1, imWrk2, imOut1, "sup")
mamba.logic(imOut2, imWrk3, imOut2, "sup")
mamba.erode(imWrk1, imWrk1, se=se)
v2 = mamba.computeVolume(imWrk1)
