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Contrast enhancement mammograms using denoising in wavelet coefficients

机译:使用小波系数去噪的对比增强乳房X光照片

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Contrast enhancement in x-ray mammograms is important in improvement of radiologists' reading and interpretation. In many cases, it is difficult to discern signs of breast cancer because mammograms are low contrast and very noisy. This paper proposes improved contrast enhancement method in mammograms using denoising in wavelet coefficients. First, mammograms are decomposed by wavelet transform. Second, the ratio between approximate subband and detail subband as signal-to-noise ratio is computed. Finally, detail subbands which have the ratio lower than the criteria are boosted to improve mammograms contrast while detail subbands having the ratio higher than the criteria are set to zero for noise suppression in the same time. Contrast measure and peak-signal-to-noise ratio are used to evaluate the performance of the proposed method. The experimental results show higher contrast 17.05% than the conventional method while a bit different in peak-signal-to-noise ratio.
机译:X射线乳房X线照片的对比度增强对提高放射线医师的阅读和解释能力很重要。在许多情况下,由于乳房X线照片的对比度低且噪声很大,因此很难分辨出乳腺癌的征兆。提出了一种利用小波系数去噪的乳腺X线照片对比度增强方法。首先,通过小波变换分解乳房X线照片。其次,计算近似子带与细节子带之间的比率作为信噪比。最后,比率低于标准的细节子带被增强以改善乳房X光照片的对比度,同时比率高于标准的细节子带被设置为零以同时抑制噪声。对比测量和峰信噪比用于评估该方法的性能。实验结果表明,对比度比常规方法高17.05%,而峰值信噪比则略有不同。

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