Enhancement of Breast Images by Noise Reduction and MTF Compensation to Improve Microcalcifications Detection
This work proposes a new method to improve the quality of mammographic image filtering the Poisson noise by using Anscombe Transform and Wiener Filter. After the noise filtering, it is performed an enhancement of this images by using a restoration inverse filter, obtained through the calculation of the mammographic unit Modulation Transfer Function (MTF). This pre-processing technique improved breast image quality by overcome the acquisition process constrains and increased the performance of a breast microcalcifications computer-aided detection algorithm.
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