Architecture for Medical Image Processing

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


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.


Image Processing Medical Imaging Software Architectures Knowledge Base Systems 


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  1. 1.
    Angenent, S., Pichon, E., Tannenbaum, A.: Mathematical Methods in Medical Image Processing. Bulletin of the American Mathematical Society 43, 365–396 (2006)MathSciNetMATHCrossRefGoogle Scholar
  2. 2.
    Hendee, W., Ritenour, R.: Medical imaging physics, 4th edn. Wiley-Liss (2002)Google Scholar
  3. 3.
    Thonnat, M.: Knowledge–based Techniques for Image Processing and for Image Understanding. Journal de Physique, IV France EDP Science, Les Ulis 12, 189–236 (2002)Google Scholar
  4. 4.
    Pratt, W.K.: Digital Image Processing, 4th edn. John Wiley & Sons (2007)Google Scholar
  5. 5.
    Pandit, H., Shah, D.M.: Application of Digital Image Processing and Analysis in Healthcare Based on Medical Palmistry. In: International Conference on Intelligent Systems and Data Processing (ICISD), pp. 56–59 (2011)Google Scholar
  6. 6.
    Vaida, M.F., Todica, V.: Medical Image Processing using a Service Oriented Architecture. In: 1st International Conference on Advancements of Medicine and Health Care through Technology, MediTech2007, Cluj-Napoca, Romania, September 27-29 (2007)Google Scholar
  7. 7.
    Lin, Y.-D., Tsao, H.-V., Chong, F.-C.: An Image Processing Architecture to Enchance Image Contrast. Biomed. Eng. Appl. Basis Commun. 14, 215 (2002)CrossRefGoogle Scholar
  8. 8.
    Lead Technologies Inc. LEADTOOLS Medical Image Processing SDK. WWW Site:
  9. 9.
    Yoo Terry, S.: Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. A K Peters/CRC Press (2004)Google Scholar
  10. 10.
    Maher, A., Sid-Ahmed: Image Processing: Theory, Algorithms, and Architectures. McGaw-Hill, Inc. (1995)Google Scholar
  11. 11.
    Chang, S.-K.: Principles of Pictorial Information Systems Design. Prentice-Hall (1989)Google Scholar
  12. 12.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Pearson Prentice Hall (2008)Google Scholar
  13. 13.
    Ware, C.: Information Visualization – Perception for Design, 2nd edn. Morgan Kaufmann (2004)Google Scholar
  14. 14.
    Jähne, B.: Practical Handbook on Image Processing for Scientific and Technical Applications, 2nd edn. CRC Press (2004)Google Scholar
  15. 15.
    Myler, H.R., Weeks, A.R.: Computer Imaging Recipes in C. Prentice Hall, Englewood Cliffs (1993)Google Scholar
  16. 16.
    Mironov, R.: Algorithms for Local Adaptive Image Processing. In: XXXVII International Scientific Conference on Information, Communication and Energy Systems and Technologies. ICEST 2002, Niš, Yugoslavia, October 1-4, pp. 193–196 (2002)Google Scholar
  17. 17.
    Mironov, R., Kountchev, R.: Method for Watermarking of Medical Images Based on Fast Complex Hadamard Transform. In: Intern. Conf. on Communications, Electromagnetics and Medical Applications (CEMA 2010), Athens, Greece, October 7-9, pp. 58–61 (2010)Google Scholar
  18. 18.
    Kountchev, R., Mironov, R., Kountcheva, R.: Efficient Compression of Medical Images Based on Adaptive Histogram Modification. In: XLVI Intern. Scientific Conf. on Information, Communication and Energy Systems and Technologies (ICEST 2011), Serbia, Niš, June 29- July 1, vol. 1, pp. 13–16 (2011)Google Scholar
  19. 19.
    Mironov, R.: Adaptive Interpolation and Halftoning for Medical Images. In: International Workshop on Next Generation Intelligent Medical Decision Support Systems, MedDecSup 2011, Proc., Targu Mureş, Romania, September 18-19 (2011) (in press)Google Scholar
  20. 20.
    Kountchev, R., Todorov, V.: File Format organization for effective Still Image Transfer with IDP. In: 37th Intern. Scientific Conf. on Information, Communication and Energy Systems and Technologies, Proc., Nis, Yugoslavia, vol. 1, pp. 287–290 (2002)Google Scholar
  21. 21.
    Mironov, R.: Data Structures for Image Presentation. Proc. of National Conference with foreign participation. In: Development of Telecommunication Networks and Systems, TELECOM 1999, Varna, Bulgaria, pp. 547–553 (1999) (in Bulgarian)Google Scholar
  22. 22.
    Mironov, A., Mironov, R.: Using Databases for Presentation of Multimedia Information. In: Proc. of National Conference with foreign participation, Development of Telecommunication Networks and Systems, TELECOM 1999, Varna, Bulgaria, pp. 642–649 (1999) (in Bulgarian)Google Scholar
  23. 23.
    Kountchev, R., Mironov, R.: Program System for Metallographic Images Processing and Analysis. In: XXX Science Session: Communication, Electronic and Computer Systems 1995, Sofia (May 1995) (in Bulgarian)Google Scholar
  24. 24.
    Kountchev, R., Mironov, R.: System for Image Processing, Analyses and Recognition. Journal for Automatics and Informatics 4, 41–44 (1996) (in Bulgarian)Google Scholar
  25. 25.
    Mironov, R., Sirakov, N., Muge, F.: An Architecture of Virtual Multimedia Library. In: Proc. of V Ibero – American Symposium on Pattern Recognition, SIARP 2000, Lisbon, September 11-13, pp. 103–111 (2000)Google Scholar
  26. 26.
    Mironov, R., Kountchev, R.: System Architecture for Distance Learning of Deaf People. In: XLIV Intern. Scientific Conf. on Information, Communication and Energy Systems and Technologies (ICEST 2009), Bulgaria, pp. 191–194 (2009)Google Scholar
  27. 27.
    Mironov, R., Kountchev, R.: Architecture of Image Processing System for Documents. In: XLIV Intern. Scientific Conf. on Information, Communication and Energy Systems and Technologies (ICEST 2009), Bulgaria, pp. 195–198 (2009)Google Scholar

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© Springer International Publishing Switzerland 2013

Authors and Affiliations

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

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