Digital image processing is fundamental for several biomedical applications. In this paper, we describe an efficient software package, developed in Java, for advanced visualization and processing of biomedical images and volumes. Actually, a great part of biomedical applications is covered by specific software packages: they have a lot of graphical and processing functions in common and not any has been really optimized. The novelty of our system, when compared to other software developed to deal with biomedical applications, is that it is designed to provide a unifying software solution for potentially all biomedical applications. Another important point is the accurate choice of the development tools which we used for our project: ImageJ and Visualization Toolkit. A detailed description of the usage of these tools into the project is reported. Moreover, a case study is presented and discussed.

An Optimized Java Based Software Package for Biomedical Images and Volumes Processing

PLACIDI, GIUSEPPE
2009-01-01

Abstract

Digital image processing is fundamental for several biomedical applications. In this paper, we describe an efficient software package, developed in Java, for advanced visualization and processing of biomedical images and volumes. Actually, a great part of biomedical applications is covered by specific software packages: they have a lot of graphical and processing functions in common and not any has been really optimized. The novelty of our system, when compared to other software developed to deal with biomedical applications, is that it is designed to provide a unifying software solution for potentially all biomedical applications. Another important point is the accurate choice of the development tools which we used for our project: ImageJ and Visualization Toolkit. A detailed description of the usage of these tools into the project is reported. Moreover, a case study is presented and discussed.
2009
978-1-4244-3598-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/37538
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