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Research Paper | Electronics & Communication Engineering | India | Volume 12 Issue 2, February 2023
Pre-Processing Techniques for Digital Mammograms
Dr. P. Indra | R. Yoganapriya
Abstract: Breast cancer is very common disease all over the world due to its death rate especially to women?s. if the detection is early enough, it can reduce the mortality rate. Detection of breast cancer can be done by using digital mammography. The initial and fundamental step for breast cancer detection in image processing is pre-processing. In this paper, some of the pre-processing techniques are proposed and the results are compared with the existing preprocessing techniques. Average Value Padding AMF is the proposed filter used to minimize the edge distortion due to zero padding. The existing Haar transform, median filter and adaptive median filters are considered for the comparison of performance evaluation. The proposed method is is better in terms of f MSE (mean square error), PSNR (peak signal to noise ratio) and SSIM (structural similarity index measure) values. MIAS and DDSM dataset are taken for experimental purpose.
Keywords: Mammogram, Haar transform, Median filter, Adaptive median filter, AV padding AMF, PSNR, MSE, SSIM
Edition: Volume 12 Issue 2, February 2023,
Pages: 647 - 651