DynamicImager  is a Visual Image Processing Environment offering N-dimensional, multispectral image processing on PC.

 Including ISO 12087 ( PIKS ) based Image Processing modules.

  • Advanced Image Processing on your PC.
  • Drag and drop Visual Programming
  • Comprehensive Support for N-dimensional Multispectral Datasets
  • Rich collection of ISO 12087 based Image Processing modules ( PIKS Fundamental-, Core-, and Technical level)
  • Rich API for developing your own Modules in MS Visual C or C++
  • Easy to use  

 Who needs DynamicImager?

A DynamicImager Screen shot

  • DynamicImager is for you, the image-processing expert, who want to write your own image processing algorithms and see them perform without having to write a lot of additional code.
  • DynamicImager is for you who need experimenting with image processing, to verify and enhance your understanding of the way various image processing filters works.
  • DynamicImager is for your research, when you need a fast experimentation environment to analyze your data on a low budget.
  • DynamicImager is the ideal vehicle for teaching and research.
  • DynamicImager is for education, allowing students to play with standard operators, implement their own image processing modules, and integrate them into the system.

    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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Last modified: 30.11.2006 by Per Kristen Fredlund Copyright © 2002  Trollhetta AS