Others functions

Detailed Description

Collaboration diagram for Others functions:

Functions
template<class T >
RES_T	mask (const Image< T > &imIn, const Image< T > &imMask, Image< T > &imOut)
	mask() - Image mask More...
template<class T1 , class mapT , class T2 >
RES_T	applyLookup (const Image< T1 > &imIn, const mapT &_map, Image< T2 > &imOut, T2 defaultValue=T2(0))
	applyLookup() - Apply a lookup map to a labeled image More...

Function Documentation

mask()

RES_T smil::mask	(	const Image< T > &	imIn,
		const Image< T > &	imMask,
		Image< T > &	imOut
	)

mask() - Image mask

The result is a image where :

• imOut(x) = (imMask(x) != 0 ? imIn(x) : 0)

Parameters

[in]	imIn	: input image
[in]	imMask	: input mask image
[out]	imOut	: output image

applyLookup()

RES_T smil::applyLookup	(	const Image< T1 > &	imIn,
		const mapT &	_map,
		Image< T2 > &	imOut,
		T2	defaultValue = T2(0)
	)

applyLookup() - Apply a lookup map to a labeled image

Converts a labeled image into a labeled image, converting labels based on a lookup map (or dictionary, in python)

Parameters

[in]	imIn	: labeled input image
[in]	_map	: lookup map
[out]	imOut	: output labeled image
[in]	defaultValue	: values to be assigned when the input value isn't present in the keys of the lookup map (_map)

Example

import smilPython as sp
 
im = sp.Image("https://smil.cmm.minesparis.psl.eu/images/balls.png")
imLbl1 = sp.Image(im, "UINT16")
imLbl2 = sp.Image(imLbl1)
 
sp.label(im, imLbl1)
 
# We can use a Smil Map
# lookup = Map_UINT16_UINT16()
# or directly a python dict
lookup = dict()
lookup[1] = 2
lookup[5] = 3
lookup[2] = 1
 
sp.applyLookup(imLbl1, lookup, imLbl2)
 
imLbl1.showLabel()
imLbl2.showLabel()