Architecture for Medical Image Processing

Part of the Studies in Computational Intelligence book series (SCI, volume 473)

Abstract

In this paper, software architecture for medical image processing, analysis and archiving is presented. On the basis of the considered architecture a new task-oriented medical image processing system, which allows imitating of the human visual system, is developed. The basic functions include input/output of halftone images, pre- and post-processing, filtration, compression, enhancement, 2D linear transforms, pseudo-color transforms, analysis and interpolations. Using the system features, various image processing tasks are semantically described in the experimental part. The main advantages of the proposed architecture are the use of adaptive algorithms for processing of medical images, tailored to their specific features.

Keywords

Image Processing Medical Imaging Software Architectures Knowledge Base Systems 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Department of Radio Communications and Video TechnologiesTechnical University of SofiaSofiaBulgaria

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