Mammographic image enhancement algorithms form an essential part of Computer Aided Detection tech.iques (CAD) for b.east cancer. The performance measures for evaluation (of these enhancement algorithms) should b. such...
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ISBN:
(纸本)9781467356282
Mammographic image enhancement algorithms form an essential part of Computer Aided Detection tech.iques (CAD) for b.east cancer. The performance measures for evaluation (of these enhancement algorithms) should b. such that they not only assess the degree of improvement of image from original in terms of pixels related values b.t also measure the utility of mammogram in terms of its improvement for diagnostic purposes. This paper introduces a new quality index for mammogram enhancement algorithms, which could b. used as tool to evaluate the performance of CAD tech.iques (for b.east cancer). The evaluation procedure involves extraction of statistical parameters from the foreground and b.ckground regions of the targeted region-of interest in mammograms. The extracted features are then comb.ned using non-linear operators to yield the proposed quality index. Mammograms from MIAS datab.se are used to validate the performance of the proposed index during simulations.
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