Features:
The DynamicImager environment helps you carry out your tasks faster and
easier, by automating many of the tedious details of setting up an image
processing experiment.
With DynamicImager you can use drag and drop to create and edit
complex image processing applications. The applications can consist of any
number of image processing operators pipe-lined in data flow graphs.
DynamicImager performs automatic module scheduling in a module
network. The environment lets you change parameters for each operator in the
network, automatically re-scheduling all operators affected by the change.
DynamicImager has a rich collection of ISO 12087 based image
processing operators, organized in a hierarchical library for fast and
task-oriented retrieval.
DynamicImager provides a rich API that allows you to write (using C
or C++) your own image processing modules and integrate them into the DynamicImager
framework
A general image processing application can be modeled as
a set of cooperating processes of three types:
 |
1. Input processes, responsible for locating, acquiring, and
loading images into the system.
2. Computational processes, responsible for processing the
data.
3. Presentation and other output processes, responsible for
storing and presenting the results. |
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