Enhancement via Fusion of Mammographic Features
نویسندگان
چکیده
Mammographic image enhancement methods are typically aimed at either improvement of the overall visibility of features or enhancement of a speci c sign of malignancy. In this paper, we present a synthesis of the two paradigms by means of image fusion. After a redundant B-spline wavelet transform decomposition is carried out, the transform coeÆcients are processed for enhancement of microcalci cations, circumscribed masses, and stellate lesions. The modi ed coeÆcients are then fused for reconstruction of an enhanced image with improved visualization of malignancies. Both processing for enhancement of selected features and fusion of the resultant images are accomplished within a single wavelet transform framework which contributes to the computational eÆciency of the described method. The devised algorithm not only allows for eÆcient combination of speci c features of importance in the contrast enhanced images, but also provides a exible framework for incorporation of di erent enhancement methods and their independent optimization.
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