Abstract
Microcalcification is important for early breast cancer detection. But due to the low contrast of microcalcifications and same properties as noise, it is difficult to detect microcalcification. In this paper, we propose a robust contrast enhancement method for microcalcification. The proposed method is modified homomorphic filtering in wavelet domain based on background noise information. By using the proposed method, the mammogram contrast can be stretched adaptively thereby enhancing the contrast. Experimental results show that the proposed method improves the visibility of microcalcifications. The contrast improvement index (CII) is increased while noise standard deviation is decreased.
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© 2004 Springer-Verlag Berlin Heidelberg
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Kang, HK., Thanh, N.N., Kim, SM., Ro, Y.M. (2004). Robust Contrast Enhancement for Microcalcification in Mammography. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_63
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DOI: https://doi.org/10.1007/978-3-540-24767-8_63
Publisher Name: Springer, Berlin, Heidelberg
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