Enhancement via Fusion of Mammographic Features
Image enhancement in mammography is typically concerned with either general visibility of all features or conspicuity of a specific sign of malignancy. We describe a synthesis of the two approaches through fusion of locally enhanced microcalcifications, circumscribed masses, and stellate lesions. Both local processing and image fusion are performed within a single wavelet transform framework which contributes to the computational efficiency of the method. The algorithm not only allows for efficient combination of specific features of importance, but also provides a flexible framework for incorporation of distinct enhancement methods and their independent optimization.
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- Biomedical Engineering
- Published Here
- August 17, 2010
1998 International Conference on Image Processing : proceedings : ICIP 98 : October 4-7, 1998, Chicago, Illinois, USA, vol. 1 (Los Alamitos, Calif.: IEEE Computer Society, 1998), pp. 722-726.