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ImFusion SDK 4.3
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ImFusion SDK 4.3
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#include <ImFusion/Reg/SimilarityMeasureML.h>
Machine Learning based similarity measure. More...
Inheritance diagram for SimilarityMeasureML:Machine Learning based similarity measure.
Public Member Functions | |
| SimilarityMeasureML (SharedImage *img1, SharedImage *img2) | |
| void | setPairingFunction (const std::function< bool(const SharedImage *drr, const SharedImage *fluoro, SharedImage *&imgOut)> &func) |
| Set a function that computes the dual-channel single image containing fixed and moving image. | |
| void | setPredictionModelConfig (const std::string &filename) |
| Set the filename of the prediction model configuration. | |
| void | configure (const Properties *p) override |
| Set one or multiple properties. | |
| void | configuration (Properties *p) const override |
| Retrieve the properties of this object. | |
| double | compute (const ImageTransformer *t, size_t *overlap=nullptr) override |
| Computes and returns the similarity measure. | |
| bool | supportsWeights () const override |
| Queries the capability whether this similarity measure supports pixel-wise weights. | |
| Public Member Functions inherited from SimilarityMeasureImpl | |
| SimilarityMeasureImpl (SharedImage *img1, SharedImage *img2) | |
| Sets the two images that should be compared. Does not transfer ownership. | |
| virtual bool | setImage1 (SharedImage *img1) |
| Replaces the image1 that was set in the constructor with the given image. | |
| virtual bool | setImage2 (SharedImage *img2) |
| Replaces the image2 that was set in the constructor with the given image. | |
| virtual SharedImage * | image1 () const |
| virtual SharedImage * | image2 () const |
| void | enableImage1Mask (bool enable) |
| Specify whether a mask on the first image shall be used if available (true by default) | |
| void | enableImage2Mask (bool enable) |
| Specify whether a mask on the second image shall be used if available (true by default) | |
| virtual void | setWeights (const SharedImage *weights1, const SharedImage *weights2) |
| Sets the images to use as weights for the similarity metric. | |
| bool | image1MaskEnabled () const |
| Return the flag for using the mask of the first image. | |
| bool | image2MaskEnabled () const |
| Return the flag for using the mask of the second image. | |
| Public Member Functions inherited from Configurable | |
| virtual void | configureDefaults () |
| Retrieve the properties of this object, replaces values with their defaults and sets it again. | |
| void | registerParameter (ParameterBase *param) |
| Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration(). | |
| void | unregisterParameter (const ParameterBase *param) |
| Remove the given Parameter or SubProperty from the list of registered parameters. | |
| Configurable (const Configurable &rhs) | |
| Configurable (Configurable &&rhs) noexcept | |
| Configurable & | operator= (const Configurable &) |
| Configurable & | operator= (Configurable &&) noexcept |
Static Public Member Functions | |
| static void | defaultConfiguration (Properties *p) |
| static bool | pairMriUs (const SharedImage *mri, const SharedImage *us, SharedImage *&imgOut) |
| Static Public Member Functions inherited from SimilarityMeasureImpl | |
| static void | defaultConfiguration (Properties *p) |
| Retrieve the default properties of this class. | |
Protected Attributes | |
| GenerateSimMeasureLearningDataAlgorithm * | m_smld |
| Creating the dual-channel input for regression. | |
| GlReduction * | m_reducer |
| Reduction class for computing final similarity. | |
| GL::Framebuffer * | m_fbo |
| Framebuffer for reduction. | |
| std::unique_ptr< Algorithm > | m_predAlgo |
| The prediction model. | |
| DataList | m_predAlgoInput |
| SharedImageSet * | m_imgDual |
| Dual-channel image for regression. | |
| std::string | m_pwConfig |
| std::string | m_pwLastConfig |
| Config file for prediction model. | |
| float | m_gradientScaling |
| std::function< bool(const SharedImage *drr, const SharedImage *fluoro, SharedImage *&imgOut)> | m_pairFunc |
| Optional function to create paired image from fixed and moving. | |
| Protected Attributes inherited from SimilarityMeasureImpl | |
| SharedImage * | m_img1 |
| SharedImage * | m_img2 |
| bool | m_useImg1Mask |
| bool | m_useImg2Mask |
| std::shared_ptr< GlMask::MultiIncludeType > | m_maskImg1 |
| std::shared_ptr< GlMask::MultiIncludeType > | m_maskImg2 |
| const SharedImage * | m_weights1 |
| const SharedImage * | m_weights2 |
| Protected Attributes inherited from Configurable | |
| std::vector< Param > | m_params |
| List of all registered Parameter and SubProperty instances. | |
Additional Inherited Members | |
| Public Attributes inherited from Configurable | |
| Signal | signalParametersChanged |
Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted. | |
| Protected Member Functions inherited from SimilarityMeasureImpl | |
| template<typename T> | |
| double | callTyped (T *obj, const MemImage &img1, const MemImage &img2, const ImageTransformer *t, size_t *overlap=nullptr) |
| Helper method to transform the MemImages to TypedImages. | |
| void | setMaskIncludeArguments (GL::Program *program) |
| Sets all uniforms for SimilarityMeasureMask.glh. | |
| void | initMaskInclude (GL::Program *program) |
| Initializes the code for the SimilarityMeasureMask.glh code. | |
| std::string | glDefines (bool patchBased) const |
| Return shared GL program defines for patch-based and weights, used in LNCC and LC2 OpenGL subclasses. | |
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overridevirtual |
Set one or multiple properties.
The default implementation retrieves the mask mode (param names "maskModeImg1" and "maskModeImg2")
Reimplemented from SimilarityMeasureImpl.
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overridevirtual |
Retrieve the properties of this object.
The default implementation stores the mask mode (param names "maskModeImg1" and "maskModeImg2")
Reimplemented from SimilarityMeasureImpl.
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overridevirtual |
Computes and returns the similarity measure.
The higher the value the higher the similarity between the two images. The returned value does not need to be normalized, therefore values from different similarity measures should not be compared directly. The computation always iterates each pixel of img1 and compares it to the related pixel of img2. If no ImageTransformer is supplied, the image coordinates of a pixel in img1 are used directly to lookup the value in img2, no transformation is assumed. In this case it's usually advisable that img1 and img2 have the same dimensions, but this is not enforced. If an ImageTransformer is given, it will be used to transfer from img1 pixel coordinates to img2 pixel coordinates including any world transformations. In this case the dimensions of the two images can be unrelated. The optional argument overlap contains the overlap of the two images in pixels.
Implements SimilarityMeasureImpl.
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inlineoverridevirtual |
Queries the capability whether this similarity measure supports pixel-wise weights.
Implements SimilarityMeasureImpl.
