2024
DOI: 10.12785/ijcds/160177
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Enhancing and Denoising Mammographic Images for Tumor Detection using Bivariate Shrinkage and Modified Morphological Transforms

Yen Thi Hoang Hua,
Giang Hong Nguyen,
Luong Bao Binh
et al.

Abstract: Breast cancer stands as a prevalent concern for women worldwide. Mammography serves as the frontline defense for early detection, yet its low X-ray dosage often leads to suboptimal image quality. This study proposes a multi-step solution: (i) Image enhancement employs a two-step approach: denoising using bivariate shrinkage and a hybrid median filter based on stationary wavelet transform (SWT) to avoid shift variants, and it is combined with modified morphology operations including the background, a vignette i… Show more

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