Introduction

The MeVis Image Processing Library (further called ML) represents a general approach to image processing. It is based on the following principal ideas:

Image processing algorithms are represented as modules
Modules are arranged in a directed graph representing the flow of image data
Modules implement a unified image processing interface
Modules are self-descriptive by exporting their parameters as fields
Image data is processed tile by tile (paging)
Image processing is done strictly request-oriented (pull model)
Multithreading support for parallel image processing
Image processing is up to 6 dimensional (x,y,z, color, time, and user dimension)
Pages/image fragments can be cached to avoid recalculations.

The ML is implemented in C++ and is available for various platforms and compilers. In addition to the C++ interfaces, the ML offers a C API (available via mlAPI.h).

The ML is based on the core libraries

for system independent utility functionality, basic linear algebra support, and memory management (caching).

For notes on the deprecation of numerous names of classes, macros, and methods, see ML Deprecation Notes or the Deprecated List.

For additional ML specific notes please have a look at the pages