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[02201] Total Variation and Undecimated Wavelet Approach to Chest Radiograph Image Enhancement

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E820
  • Type : Contributed Talk
  • Abstract : ABSTRACT Medical images are often corrupted by white noise, blurring and contrast defects. Consequently, important medical information may be degraded or completely masked. In this talk, I will discuss recent advances in the implementation of a total variation method and an undecimated wavelet image enhancing algorithm, as well as morphological techniques such as closing, thinning and pruning combined with wavelets methods, to improve the image quality and to extract target features from chest radiographs.
  • Classification : 68U10, 44A20, 46N10, Chest radiograph image enhancement, mathematical morphology, wavelet decomposition
  • Author(s) :
    • Anthony Y Aidoo (Eastern Connecticut State University)
    • Gloria Agyeiwaa Botchway (University of Ghana)
    • Matilda Acheampong Wilson (University of Ghana)