Band-limited histogram equalization for mammograms contrast enhancement

N. Elsawy, M. Sayed, F. Farag, G. Gouhar
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引用次数: 9

Abstract

Early detection of breast cancer is the most effective method of reducing mortality. Mammography is at present the best available technique for early detection of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and calcifications. In mammograms, cancer is not easily detected by the eyes because of the bad imaging quality. To improve the correct diagnosis rate of cancer, image-enhancement techniques are often used to enhance the image and aid the radiologists. In this paper, we introduce a new algorithm for mammograms contrast enhancement. The proposed algorithm performs band-limited histogram equalization (BLHE) for certain intensity band of the mammogram histogram. According to the opinion of radiologist, the proposed algorithm showed promising performance when applied on several mammography images. In addition, the proposed algorithm was combined with a wavelet-based contrast enhancement method to further improve its performance.
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乳房x线照片对比度增强的带限直方图均衡化
早期发现乳腺癌是降低死亡率的最有效方法。乳房x线照相术是目前早期发现乳腺癌的最佳技术。肿块和钙化是乳腺癌最常见的异常。在乳房x光检查中,由于成像质量差,眼睛不容易发现癌症。为了提高肿瘤的正确诊断率,通常采用图像增强技术来增强图像,辅助放射科医生进行诊断。本文介绍了一种新的乳房x线照片对比度增强算法。该算法对乳房x光直方图的某一强度波段进行带限直方图均衡化(BLHE)。根据放射科医生的意见,该算法在多张乳房x光图像上应用后显示出良好的性能。此外,将该算法与基于小波的对比度增强方法相结合,进一步提高了算法的性能。
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