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MeVisLab Toolbox Reference
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The following classes are the main classes that are involved when implementing an image processing Module in the ML. More...
Classes | |
| class | ml::ImageProperties |
| This class represents basic image properties: More... | |
| class | ml::MedicalImageProperties |
| This class encapsulates basic medical image properties: More... | |
| class | ml::Module |
| Base class for an image processing module of the ML. More... | |
| class | ml::CalculateOutputImageHandler |
| Base class for the calculation of pages of an output image (PagedImage) of a Module. More... | |
| class | ml::PagedImage |
| The class PagedImage, representing a fragmented image that manages properties and data of an image located in pages. More... | |
| class | ml::ProcessAllPagesHandler |
| Base class for handlers that are used for the Module::processAllPages facility. More... | |
| class | ml::SubImage |
| This class manages/represents a rectangular 6D image region that is organized linearly in memory. More... | |
| class | ml::TSubImage< DATATYPE > |
| This template class manages/represents a rectangular 6D image region in memory that is organized linearly. More... | |
| class | ml::ConstTSubImageCursor< DATATYPE > |
| Predeclaration for const cursor. More... | |
| class | ml::TSubImageCursor< DATATYPE > |
| Predeclaration for cursor. More... | |
| class | ml::TypedProcessAllPagesHandler< Derived, NumberOfInputImages, VariableType0, VariableType1, VariableType2, VariableType3 > |
| TypedProcessAllPagesHandler can be used as a base class for a custom ProcessAllPages handler and supports up to four type variable types. More... | |
| class | ml::TypedCalculateOutputImageHandler< Derived, NumberOfInputImages, VariableType0, VariableType1, VariableType2, VariableType3 > |
| TypedCalculateOutputImageHandler can be used as a base class for a custom CalculateOutputImageHandler and supports up to four variable types. More... | |
The following classes are the main classes that are involved when implementing an image processing Module in the ML.