Image Processing Application for Cognition: IPAC Architecture and Implementation in Java

Statistics – Applications

Scientific paper

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Scientific paper

An application framework for advanced image processing and visualization is presented. It provides common two-dimensional operators and implements recent developments in the field of image processing as well as original algorithms based on nonlinear partial differential equations (PDEs). It is platform independent and has the capability of extensibility. This objective is achieved by exploiting the object-oriented paradigm. A graphical user interface (GUI) provides processing, analysis and visualization in a highly integrated, easy to use environment. Applications of the developed system to images obtained by the Spitzer Space Telescope are demonstrated.

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