The Nonsubsampled Contourlet Transform for Enhancement of Microcalcifications in Digital Mammograms

Microcalcifications detection plays a crucial role in the early detection of breast cancer. The enhancement of the mammographic images is one of the most important tasks during the detection process. This paper presents an algorithm for the enhancement of microcalcifications in digital mammograms. T...

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Bibliographic Details
Published in:	MICAI 2009: Advances in Artificial Intelligence pp. 292 - 302
Main Authors:	Muñoz, Jose Manuel Mejía, de J. Ochoa Domínguez, Humberto, Villegas, Osslan Osiris Vergara, Sánchez, Vianey Guadalupe Cruz, Maynez, Leticia Ortega
Format:	Book Chapter
Language:	English
Published:	Berlin, Heidelberg Springer Berlin Heidelberg 2009
Series:	Lecture Notes in Computer Science
Subjects:	Digital Mammogram Discrete Wavelet Transform IEEE Transaction Laplacian Pyramid Mammographic Image
Online Access:	Get full text
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Summary:	Microcalcifications detection plays a crucial role in the early detection of breast cancer. The enhancement of the mammographic images is one of the most important tasks during the detection process. This paper presents an algorithm for the enhancement of microcalcifications in digital mammograms. The main novelty is the application of the nonsubsampled contourlet transform and a specific edge filter to enhance the directional structures of the image in the contourlet domain. The inverse contourlet transform is applied to recover an approximation of the mammogram with the microcalcifications enhanced. Results show that the proposed method outperforms the current method based on the discrete wavelet transform.
ISBN:	3642052576 9783642052576
ISSN:	0302-9743 1611-3349
DOI:	10.1007/978-3-642-05258-3_26