Advertisement

An Adaptive Enhancement Filter For Mammographie Phantom Image

  • V Guis
  • M Adel
  • M Rasigni
  • G Rasigni
  • B Seradour
  • P Heid
Conference paper

Abstract

We evolve an image enhancement method for facilitating further object detection process. For this purpose an adaptive neighbourhood image processing technique with a contrast-enhancement function is used. In order to compare function performance, simulated images containing objects similar to those observed in the phantom, with various relative contrasts and various Signal to Noise Ratio levels, were generated. When using appropriate contrast enhancement functions results show that the process enhances noteworthy features both in simulated images and real phantom images with little noise enhancement.

Keywords

Noise Reduction Digital Mammography Simulated Image Contrast Level Phantom Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Computerized Imaging Reference Systems, Inc., 2428 Almeda Avenue suite 212, Norflok, VA 23513, USAGoogle Scholar
  2. 2.
    Qian W, Clarke LP, Kallergi M, Clark RA: Tree-Structured Nonlinear Filters in Digital Mammography,. IEEE Trans. Med. Imag. Vol 13, N°l, (1994) 25–36.CrossRefGoogle Scholar
  3. 3.
    V. Guis, M. Adel, M. Rasigni, G. Rasigni, B. Seradour, P. Heid: Noise reduction in mammographie phantom images using adaptive neighbourhood contrast enhancement. Advanced Concepts for Intelligent Vision Systems, Proceedings of The Second International Symposium on Intelligent Vision Systems Baden Baden (2001) 106–111Google Scholar
  4. 4.
    Gordon R, Rangayyan RM: Feature enhancement of film mammograms using fixed and adaptative neighborhoods, Appi. Opt.Vol 23, N°4 (1984) 560–564PubMedCrossRefGoogle Scholar
  5. 5.
    Dhawan AP, G. Buelloni G, Gordon R: Enhancement of mammographic features by optimal adaptative neighborhood image processing, IEEE Trans. Med. Imag.Vol MI-5, N° 1, (1986).Google Scholar
  6. 6.
    A. P. Dhawan E. Le Royer: “Mammographic feature enhancement by computarized image processing,” Computer Methods and Programs in Biomedecine Vol 27 (1988) 23–25.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • V Guis
    • 1
  • M Adel
    • 1
  • M Rasigni
    • 1
  • G Rasigni
    • 1
  • B Seradour
    • 2
  • P Heid
    • 2
  1. 1.INTERFACE — PHYSIQUE — BIOLOGIE — MEDECINEFaculté des Sciences et Techniques de Saint-JérômeUniversité d’Aix-Marseille IIIMarseille Cedex 20France
  2. 2.Hôpital de la TimoneARCADESMarseille Cedex 5France

Personalised recommendations