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Summary: A New Preprocessing Filter for Digital Mammograms
Peyman Rahmati1
, Ghassan Hamarneh2
, Doron Nussbaum3
, and Andy Adler1
,
1
Dept. of System and computer Engineering, Carleton University, ON, Canada
2
School of Computing Science, Simon Fraser University, BC, Canada
3
Dept. of Computer Science, Carleton University, ON, Canada
{Prahmati, Adler, Nussbaum}@sce.carleton.ca , hamarneh@cs.sfu.ca
Abstract. This paper presents a computer-aided approach to enhancing
suspicious lesions in digital mammograms. The developed algorithm improves
on a well-known preprocessor filter named contrast-limited adaptive histogram
equalization (CLAHE) to remove noise and intensity inhomogeneities. The
proposed preprocessing filter, called fuzzy contrast-limited adaptive histogram
equalization (FCLAHE), performs non-linear enhancement. The filter
eliminates noise and intensity inhomogeneities in the background while
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