13.3. Programming Examples

13.3. Programming Examples
	Chapter 13. Introduction to C++ Modules

Besides the examples in the next chapters, several programming examples are available in the MeVisLab software development kit.

For these modules to be available, the module group “Module Examples” has to be enabled, see Preferences → Module Groups.

The module data can be found at

Some modules are combined in one DLL, like the MLExample modules.

	Tip
	See the chapter Section 14.3, “Combining Two Modules in One Project” on how to combine modules into one DLL.

Here is an overview of the most important example modules, listed by module name.

AddImagesExample (Class: AddImagesExample; DLL: AddImagesExample)
Startup example for ML module programming.
ProcessAllPagesExample (Class: ProcessAllPagesExample; DLL: ProcessAllPagesExample)
Shows how to process all pages using multi-threading and the TypedOutputHandler.
GlobalPagedImageExample (Class: mlGlobalPagedImageExample; DLL: MLExample)
This module demonstrates how a VirtualVolume and/or a TVirtualVolume instance can be used to get a random read/write access to an input image during page-based processing and to demand driven image processing.
AsyncProcessAllPagesExample (Class: mlAsyncProcessAllPagesExample; DLL: MLBackgroundTasksExamples)
This module (like some others in the same DLL) demonstrates how image processing tasks can be performed in the background of the main process so that the GUI stays responsive.
ReadDICOMTagExample (Class: mlReadDICOMTagExample; DLL: MLReadDICOMTagExample)
Shows how to read DICOM tags from the internal image representation.

Kernel3In2OutExample (Class: mlKernel3In2OutExample; DLL: MLKernelExamples)
Example class to demonstrate the implementation of a kernel-based algorithm with three inputs and two outputs in the ML.
KernelExample (Class: mlKernelExample; DLL: MLKernelExamples)
Example class to demonstrate the implementation of a kernel-based algorithm in the ML.
SeparableKernelExample (Class: mlSeparableKernelExample; DLL: MLKernelExamples)
Example class of the implementation of a kernel-based algorithm in the ML which implements separable kernel filtering.

	Tip
	Similar examples are available for MDL panels; for those, search for modules starting with “Test...”.


13.2. Some Tips for Module Design		Chapter 14. Developing ML Modules