Abstract
An intensity modification based segmentation of microcalcifications from digital mammogram is presented in this paper. The proposed technique projects a novel enhancement method for mammogram images using BlackTop-Hat Transformation and Gauss Distribution as thresholding determinants, taking the neighbouring pixels into consideration for image segmentation. Further, the results are validated with MIAS database description and proved to produce the exact results complying with the descriptions given in the MIAS.
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Shanmugavadivu, P., Narayanan, S.G.L. (2013). Segmentation of Microcalcifications in Digital Mammogram Images Using Intensity Modified BlackTop-Hat Transformation and Gauss Distribution. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_24
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DOI: https://doi.org/10.1007/978-3-319-03844-5_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03843-8
Online ISBN: 978-3-319-03844-5
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