Microcalcifications are an important early sign of breast cancer development. Because of that computer aided detection systems (CADe) for detection of microcalcifications can be very useful and helpful for breast cancer control. In order to perform detection and classification of microcalcifications it is necessary to achieve accurate detection. To be able to perform accurate detection it is necessary to remove background influence. In this paper we propose a method for contrast enhancement of microcalcifications. The proposed method improves microcalcifications' contrast solely, while background is being suppressed. For background suppression we use combination of wavelet filtering and grayscale morphology. The results of the proposed method are significant improvement in background suppression and contrast enhancement of microcalcifications.
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