COMPARISON OF DENOISING METHODS FOR DIGITAL MAMMOGRAPHIC IMAGE

Authors

  • NOR'AIDA KHAIRUDDIN Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Darul Ta'azim, Malaysia
  • NORRIZA MOHD ISA Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Darul Ta'azim, Malaysia
  • WAN MUHAMAD SARIDAN WAN HASSAN Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Darul Ta'azim, Malaysia

DOI:

https://doi.org/10.11113/jt.v57.1527

Keywords:

Adaptive Wiener filter, Low–pass Gaussian filter, Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR)

Abstract

We compared effects of denoising methods on digital mammographic images. The denoising methods studied were an adaptive Wiener filter and low–pass Gaussian filter. The denoising methods were applied as an image preprocessing techniques before enhancement. The performance of image denoising methods are based on Mean Squared Error (MSE) and Peak Signal To Ratio (PSNR) values.

References

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Published

2012-02-15

Issue

Vol. 57 No. 1 (2012): Vol. 57 Special Edition 01 (March 2012)

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

COMPARISON OF DENOISING METHODS FOR DIGITAL MAMMOGRAPHIC IMAGE. (2012). Jurnal Teknologi, 57(1). https://doi.org/10.11113/jt.v57.1527