| [mmneg] [Up] [mmaddm] | Operations |
Implemented in Python.
| y | Image binary image if option is 'BINARY' or same type as
|
mmtoggle creates the image
y that is an enhancement or classification of the image
f by the toggle operator, with parameters
f1 and
f2. If the OPTION is 'GRAY', it performs an enhancement and, if the OPTION is 'BINARY', it performs a binary classification. In the enhancement, a pixel takes the value of the corresponding pixel in
f1 or
f2, according to a minimum distance criterion from
f to
f1 or
f to
f2. In the classification, the pixels in
f nearest to
f1 receive the value 0 , while the ones nearest to
f2 receive the value 1.
>>> f = uint8([0,1,2,3,4,5,6])
>>> print f
[0 1 2 3 4 5 6]
>>> f1 = uint8([0,0,0,0,0,0,0])
>>> print f1
[0 0 0 0 0 0 0]
>>> f2 = uint8([6,6,6,6,6,6,6])
>>> print f2
[6 6 6 6 6 6 6]
>>> print mmtoggle(f,f1,f2)
[0 0 0 6 6 6 6]
>>> a = mmreadgray('angiogr.tif')
>>> b = mmero(a,mmsedisk(2))
>>> c = mmdil(a,mmsedisk(2))
>>> d = mmtoggle(a,b,c)
>>> mmshow(a)
>>> mmshow(d)
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|
| a | d |
f1 must be less or equal
f and
f must be less or equal
f2.
def mmtoggle(f, f1, f2, OPTION="GRAY"):
from string import upper
y=mmbinary(mmsubm(f,f1),mmsubm(f2,f))
if upper(OPTION) == 'GRAY':
t=mmgray(y)
y=mmunion(mmintersec(mmneg(t),f1),mmintersec(t,f2))
return y
| mmfreedom | Control automatic data type conversion. |
| mmthreshad | Threshold (adaptive) |
| [mmneg] [Up] [mmaddm] | |
| Copyright (c) 2003, Roberto A. Lotufo, UNICAMP-University of Campinas; Rubens C. Machado, CenPRA-Renato Archer Research Center. |