Some processing techniques cited in literature used for microcalcifications detection in digitized mammograms are evaluated in this work regarding dense breast images.Three techniques were investigated: Nappi’s, Nishikawa’s and Wallet’s. The methods were tested with low contrast phantom images, simulating dense breast images.The ability of each technique in detecting microcalcications in dense breast images was evaluated. The results have registered the following detection rates: Nappi’s technique 78.3%, Wallet’s: 86.6% and Nishikawa’s: 94.4%. Dense breast images are a constraint to CAD schemes good performance as confirmed by our results. Therefore the data from those segmentation techniques applied to dense breast images could be improved by developing a hybrid method from the best characteristics of each technique.