Artifacts Removal in Melanoma Using Various Preprocessing Filters

  • Authors

    • R Ramya Ravi
    • R S. Vinod Kumar
    • N Shanila
  • Preprocessing, morphological filter, gaussian filter, median filter, mean filter, wiener filter, melanoma.
  • Preprocessing plays an important role for artifacts removal and quality improvement. In this paper, noise and hair removal techniques for melanoma in dermoscopic images is proposed. Here the performance of four filters for noise removal namely Wiener, Mean, Median, and Gaussian Filters are studied. Of these the performance of Gaussian filter is proved to be best. In addition Morphological Filter is used for hair removal. The noise and hair removal filtering processes help to enhance the quality of the image and thus aid to improve the segmentation results. The performance of the preprocessing filters is compared using quantifying parameters like MSE, PSNR, and SSIM.


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  • How to Cite

    Ramya Ravi, R., S. Vinod Kumar, R., & Shanila, N. (2018). Artifacts Removal in Melanoma Using Various Preprocessing Filters. International Journal of Engineering & Technology, 7(3.27), 104-107.