def contrastEnhancer(imIn, imOut, n=1, se=mamba.DEFAULT_SE):
"""
Increase the contrast of image 'imIn' and put the result in
image 'imOut'. Parameter 'n' will control the size and 'se' the
structuring element used by the top hat operators.
"""
imWrk = mamba.imageMb(imIn)
mamba.whiteTopHat(imIn, imWrk, n, se=se)
mamba.add(imIn, imWrk, imOut)
mamba.blackTopHat(imIn, imWrk, n, se=se)
mamba.sub(imOut, imWrk, imOut)
def binarySkeletonByOpening(imIn, imOut1, imOut2, grid=mamba.DEFAULT_GRID, edge=mamba.FILLED):
"""
Skeleton by openings (maximal balls skeleton) of binary image 'imIn'.
'imOut1' contains the skeleton points (centers of maximal balls) and
'imOut2' contains the associated function (that is the radius of each
maximal ball included in the initial set.
The operation is fast because it is computed through the use of the
distance function of 'imIn' (skeleton points can be obtained by a
Top Hat transform on the distance function).
The edge is set to 'FILLED' by default.
"""
imWrk1 = mamba.imageMb(imIn, 32)
imWrk2 = mamba.imageMb(imIn, 32)
se = mamba.structuringElement(mamba.getDirections(grid), grid)
mamba.computeDistance(imIn, imWrk1, grid=grid, edge=edge)
mamba.whiteTopHat(imWrk1, imWrk2, 1, se=se)
mamba.threshold(imWrk2, imOut1, 1, mamba.computeMaxRange(imWrk2)[1])
mamba.convertByMask(imOut1, imWrk2, 0, mamba.computeMaxRange(imWrk2)[1])
mamba.logic(imWrk1, imWrk2, imOut2, "inf")
