Operations on image channels

Detailed Description

Collaboration diagram for Operations on image channels:

Functions
template<class MCT1 , class T2 >
RES_T	copyChannel (const Image< MCT1 > &imIn, const UINT &chanNum, Image< T2 > &imOut)
	copyChannel() - Copy a channel of multichannel image into a single channel image More...
template<class T1 , class MCT2 >
RES_T	copyToChannel (const Image< T1 > &imIn, const UINT &chanNum, Image< MCT2 > &imOut)
	copyToChannel() - Copy a single channel image into a channel of multichannel image More...
template<class MCT1 , class T2 >
RES_T	splitChannels (const Image< MCT1 > &imIn, Image< T2 > &im3DOut)
	splitChannels() - Split channels of multichannel image to a 3D image with each channel on a Z slice More...
template<class T1 , class MCT2 >
RES_T	mergeChannels (const Image< T1 > &imIn, Image< MCT2 > &imOut)
	mergeChannels() - Merge slices of a 3D image into a multichannel image More...

Function Documentation

copyChannel()

RES_T smil::copyChannel	(	const Image< MCT1 > &	imIn,
		const UINT &	chanNum,
		Image< T2 > &	imOut
	)

copyChannel() - Copy a channel of multichannel image into a single channel image

Parameters

[in]	imIn	: input image
[in]	chanNum	: channel in the input image to copy
[out]	imOut	: output image

Note

• imIn et imOut are 2D images
• imOut shall be a previosly allocated single channel image with the same size than imIn.
• chanNum shall be a valid channel of imIn.

Example

from smilPython import *
 
# Load a RGB image
im1 = Image("https://smil.cmm.minesparis.psl.eu/images/arearea.png")
im1.show()
 
# Copy the green channel into a UINT8 image
im2 = Image()
copyChannel(im1, 1, im2)
im2.show()
 
# Split RGB channels into a 3D UINT8 image with 3 slices (one for each channel)
im3 = Image()
splitChannels(im1, im3)
im3.show()
 
# Perform a 2D dilation on the slices
im4 = Image(im3)
dilate(im3, im4)
im4.show()
 
# And merge the result into a RGB image
im5 = Image(im1)
mergeChannels(im4, im5)
im5.show()

copyToChannel()

RES_T smil::copyToChannel	(	const Image< T1 > &	imIn,
		const UINT &	chanNum,
		Image< MCT2 > &	imOut
	)

copyToChannel() - Copy a single channel image into a channel of multichannel image

Parameters

[in]	imIn	: input image
[in]	chanNum	: channel in the output image to copy
[out]	imOut	: output image

Note

• imIn et imOut are 2D images
• imOut shall be a previosly allocated multichannel image with the same size than imIn.
• chanNum shall be a valid channel of imOut.

Example

from smilPython import *
 
# Load a RGB image
im1 = Image("https://smil.cmm.minesparis.psl.eu/images/arearea.png")
im1.show()
 
# Copy the green channel into a UINT8 image
im2 = Image()
copyChannel(im1, 1, im2)
im2.show()
 
# Split RGB channels into a 3D UINT8 image with 3 slices (one for each channel)
im3 = Image()
splitChannels(im1, im3)
im3.show()
 
# Perform a 2D dilation on the slices
im4 = Image(im3)
dilate(im3, im4)
im4.show()
 
# And merge the result into a RGB image
im5 = Image(im1)
mergeChannels(im4, im5)
im5.show()

splitChannels()

RES_T smil::splitChannels	(	const Image< MCT1 > &	imIn,
		Image< T2 > &	im3DOut
	)

splitChannels() - Split channels of multichannel image to a 3D image with each channel on a Z slice

Parameters

[in]	imIn	: input image
[out]	im3DOut	: output image

Note

• imIn is a 2D image
• im3DOut whall be a previously allocated image. Its size will be set to the same as imIn, but its depth will be set the the number of channels of imIn.

Example

from smilPython import *
 
# Load a RGB image
im1 = Image("https://smil.cmm.minesparis.psl.eu/images/arearea.png")
im1.show()
 
# Copy the green channel into a UINT8 image
im2 = Image()
copyChannel(im1, 1, im2)
im2.show()
 
# Split RGB channels into a 3D UINT8 image with 3 slices (one for each channel)
im3 = Image()
splitChannels(im1, im3)
im3.show()
 
# Perform a 2D dilation on the slices
im4 = Image(im3)
dilate(im3, im4)
im4.show()
 
# And merge the result into a RGB image
im5 = Image(im1)
mergeChannels(im4, im5)
im5.show()

mergeChannels()

RES_T smil::mergeChannels	(	const Image< T1 > &	imIn,
		Image< MCT2 > &	imOut
	)

mergeChannels() - Merge slices of a 3D image into a multichannel image

This function has the inverse behaviour of function splitChannels()

Parameters

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

Example

from smilPython import *
 
# Load a RGB image
im1 = Image("https://smil.cmm.minesparis.psl.eu/images/arearea.png")
im1.show()
 
# Copy the green channel into a UINT8 image
im2 = Image()
copyChannel(im1, 1, im2)
im2.show()
 
# Split RGB channels into a 3D UINT8 image with 3 slices (one for each channel)
im3 = Image()
splitChannels(im1, im3)
im3.show()
 
# Perform a 2D dilation on the slices
im4 = Image(im3)
dilate(im3, im4)
im4.show()
 
# And merge the result into a RGB image
im5 = Image(im1)
mergeChannels(im4, im5)
im5.show()