Compression, noise removal and comparison in digital mammography using LabVIEW

In the present paper we are interested in compression and noise removal as a preprocessor for the identification of microcalcification clusters in mammograms. LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a graphical programming language that uses icons instead of lines of text to create programs. We propose a general strategy for constructing algorithms and implementing them in LabVIEW for compression, noise removal and extracting microcalcification clusters. The comparison method presented in this paper aims to improve mammogram comparison by estimating the underlying geometric transformation for any mammogram sequence. It takes into consideration the various temporal changes that may occur between successive scans of the same woman and is designed too overcome the inconsistencies of mammogram image formation.