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Published in:
2013 | OriginalPaper | Chapter
Architecture for Medical Image Processing
Authors : Rumen Mironov, Roumen Kountchev
Published in: Advances in Intelligent Analysis of Medical Data and Decision Support Systems
Publisher: Springer International Publishing
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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.