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A novel framework for edge detection of microcalcifications using a non-linear enhancement operator and morphological filter

机译:使用非线性增强算子和形态学滤波器的微钙化边缘检测的新框架

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Minute calcium deposits that appear as bright spots on mammograms are known as microcalcifications. Calcifications in ducts and lobules are common markers of malignancy; therefore its detection plays a vital role in early detection of breast cancer. This paper proposes a novel framework for edge detection of microcalcifications using a combination of non-linear enhancement operator and morphological filter. The contrast improvement of the region of interest for better visualization of mammographic abnormalities is obtained using the proposed non-linear operator. This enhancement operator is versatile in approach, producing promising results for dense as well as non dense breast tissues. The enhanced ROI is then convolved with the proposed mask of two stage iterative discrete morphological gradient operator with variable sized structuring elements leading to improved edge detection of microcalcifications.
机译:在乳房X线照片上显示为亮点的微小钙沉积物称为微钙化。导管和小叶中的钙化是恶性肿瘤的常见标志。因此,它的检测在乳腺癌的早期检测中起着至关重要的作用。本文提出了一种结合非线性增强算子和形态学过滤器进行微钙化边缘检测的新颖框架。使用提出的非线性算子,可以更好地观察乳房X光造影异常,从而提高了感兴趣区域的对比度。该增强操作员的方法多种多样,可为密实和非密实的乳腺组织产生令人鼓舞的结果。然后,将提高的ROI与具有可变大小的结构元素的两阶段迭代离散形态梯度算子的拟议卷积进行卷积,从而改进了微钙化的边缘检测。

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