U. Pitt Bioengineering 2630
Spring Term, 2006
Damion Shelton
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ITK Lecture 6 - The Pipeline презентация
Содержание
- 1. ITK Lecture 6 - The Pipeline
- 2. What’s a pipeline? You may recall that
- 3. The pipeline idea The pipeline consists of
- 4. Image sources itk::ImageSource The base class for
- 5. Image to image filters itk::ImageToImageFilter The base
- 6. Input and output ImageSource’s do not require
- 7. Ignoring intermediate images Source Image Filter Image
- 8. How this looks in code SrcType::Pointer src
- 9. When execution occurs The previous page of
- 10. Propagation of Update() When Update() is called
- 11. When are process objects updated? If
- 12. Detecting process object modification The easy way
- 13. Process object modification, cont. The other way
- 14. Running the pipeline - Step 1 Not
- 15. Running the pipeline - Step 2 Not
- 16. Not sure Updated Modified Source Filter Image
- 17. Not sure Updated Modified Source Filter Image
- 18. Not sure Updated Modified Source Filter Image
- 19. Not sure Updated Modified Source Filter Image
- 20. Not sure Updated Modified Source Filter Image
- 21. Thoughts on pipeline modification Note that in
- 22. It’s easy in practice Build a pipeline
- 23. Reading & writing You will often begin
- 24. Reading and writing images Use itk::ImageFileReader to
- 25. Reading an image (4.1.2) Create a reader
- 26. Reader notes The ImageType template parameter is
- 27. Writing an image Almost identical to the
- 28. More read/write notes ITK actually has several
What’s a pipeline? You may recall that ITK is organized around data objects and process objects You should now be somewhat familiar with the primary data object, itk::Image Today we’ll talk
Слайд 1ITK Lecture 6 - The Pipeline
Methods in Image Analysis
CMU Robotics Institute
16-725
U. Pitt Bioengineering 2630
Spring Term, 2006
U. Pitt Bioengineering 2630
Spring Term, 2006
Слайд 2What’s a pipeline?
You may recall that ITK is organized around data
objects and process objects
You should now be somewhat familiar with the primary data object, itk::Image
Today we’ll talk about how to do cool things to images, using process objects
You should now be somewhat familiar with the primary data object, itk::Image
Today we’ll talk about how to do cool things to images, using process objects
Слайд 3The pipeline idea
The pipeline consists of data objects, and things
that create
data objects (i.e. process objects).
Слайд 4Image sources
itk::ImageSource
The base class for all process objects that
produce images without
an input image
Слайд 5Image to image filters
itk::ImageToImageFilter
The base class for all process objects
that produce images
when provided with an image as input.
when provided with an image as input.
Слайд 6Input and output
ImageSource’s do not require input, so they have only
a GetOutput() function
ImageToImageFilter’s have both SetInput() and GetOutput() functions
ImageToImageFilter’s have both SetInput() and GetOutput() functions
Слайд 7Ignoring intermediate images
Source
Image
Filter
Image
Filter
Image
Start here
End here
Source
Filter
Image
Filter
Start here
End here
=
Слайд 8How this looks in code
SrcType::Pointer src = SrcType::New();
FilAType::Pointer filterA = FilAType::New();
FilBType::Pointer
filterB = FilBType::New();
src->SetupTheSource();
filterA->SetInput( src->GetOutput() );
filterB->SetInput( filterA->GetOutput() );
ImageType::Pointer im = filterB->GetOutput();
src->SetupTheSource();
filterA->SetInput( src->GetOutput() );
filterB->SetInput( filterA->GetOutput() );
ImageType::Pointer im = filterB->GetOutput();
Слайд 9When execution occurs
The previous page of code only sets up the
pipeline - i.e., what connects to what
This does not cause the pipeline to execute
In order to “run” the pipeline, you must call Update() on the last filter in the pipeline
This does not cause the pipeline to execute
In order to “run” the pipeline, you must call Update() on the last filter in the pipeline
Слайд 10Propagation of Update()
When Update() is called on a filter, the update
propagates back “up” the pipeline until it reaches a process object that does not need to be updated, or the start of the pipeline
Слайд 11When are process objects updated?
If the input to the process
object has changed
If the process object itself has been modified - e.g., I change the radius of a Gaussian blur filter
If the process object itself has been modified - e.g., I change the radius of a Gaussian blur filter
How does it know?
Слайд 12Detecting process object modification
The easy way is to use
itkSetMacro(MemberName, type);
which
produces the function
void SetMemberName(type);
that calls Modified() for you when a new value is set in the class.
For example:
itkSetMacro(DistanceMin, double);
sets member variable m_DistanceMin
void SetMemberName(type);
that calls Modified() for you when a new value is set in the class.
For example:
itkSetMacro(DistanceMin, double);
sets member variable m_DistanceMin
Слайд 13Process object modification, cont.
The other way is to call Modified() from
within a process object function when you know something has changed
this->Modified();
You can call Modified() from outside the class as well, to force an update
Using the macros is a better idea though...
this->Modified();
You can call Modified() from outside the class as well, to force an update
Using the macros is a better idea though...
Слайд 14Running the pipeline - Step 1
Not sure
Modified
Source
Filter
Image
Filter
Start here
End here
Updated
Update()
Modified?
Modified?
Слайд 15Running the pipeline - Step 2
Not sure
Modified
Source
Filter
Image
Filter
Start here
End here
Updated
Слайд 16Not sure
Updated
Modified
Source
Filter
Image
Filter
Start here
End here
Running the pipeline - Step 3
Слайд 17Not sure
Updated
Modified
Source
Filter
Image
Filter
Start here
End here
Running the pipeline - Step 4
Слайд 18Not sure
Updated
Modified
Source
Filter
Image
Filter
Start here
End here
Change a filter parameter here
Call Update() here
Modifying the
pipeline - Step 1
Слайд 19Not sure
Updated
Modified
Source
Filter
Image
Filter
Start here
End here
We detect that the input is modified
This executes
Modifying
the pipeline - Step 2
Слайд 20Not sure
Updated
Modified
Source
Filter
Image
Filter
Start here
End here
This executes
Modifying the pipeline - Step 3
Слайд 21Thoughts on pipeline modification
Note that in the previous example the source
never re-executed; it had no input and it was never modified, so the output cannot have changed
This is good! We can change things at the end of the pipeline without wasting time recomputing things at the beginning
This is good! We can change things at the end of the pipeline without wasting time recomputing things at the beginning
Слайд 22It’s easy in practice
Build a pipeline
Call Update() on the last filter
- get the output
Tweak some of the filters
Call Update() on the last filter - get the output
...ad nauseam
Tweak some of the filters
Call Update() on the last filter - get the output
...ad nauseam
Слайд 23Reading & writing
You will often begin and end pipelines with readers
and writers
Fortunately, ITK knows how to read a wide variety of image types!
Fortunately, ITK knows how to read a wide variety of image types!
Слайд 24Reading and writing images
Use itk::ImageFileReader to read images
Use itk::ImageFileWriter to write
images
Both classes have a SetImageIO(ImageIOBase*) function used to specify a particular type of image to read or write
Both classes have a SetImageIO(ImageIOBase*) function used to specify a particular type of image to read or write
Слайд 25Reading an image (4.1.2)
Create a reader
Create an instance of an ImageIOBase
derived class (e.g. PNGImageIO)
Pass the IO object to the reader
Set the file name of the reader
Update the reader
Pass the IO object to the reader
Set the file name of the reader
Update the reader
Слайд 26Reader notes
The ImageType template parameter is the type of image you
want to convert the stored image to, not necessarily the type of image stored in the file
ITK assumes a valid conversion exists between the stored pixel type and the target pixel type
ITK assumes a valid conversion exists between the stored pixel type and the target pixel type
Слайд 27Writing an image
Almost identical to the reader case, but you use
an ImageFileWriter instead of a reader
If you’ve already created an IO object during the read stage, you can recycle it for use with the writer
If you’ve already created an IO object during the read stage, you can recycle it for use with the writer
Слайд 28More read/write notes
ITK actually has several different ways of reading files
- what I’ve presented is the simplest conceptually
Other methods exist to let you read files without knowing their format
Other methods exist to let you read files without knowing their format
