Microcalcification detection using wavelet transform

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Abstract

This paper presents a new method for detection microcalcification using wavelet transform based on statistical methods. Digitized mammograms are decomposed using the wavelet transform without down sampling process at several levels in the transform space. In order to improve the contrast enhancement of images, the multiscale adaptive gain as an enhancement method was applied. Skewness, kurtosis and boxplot outlier were applied as detection method of the previous modification image with a specific size of region of interest (ROI). We have simulated this algorithm by using 30 variations of images as part of 18 digitized mammograms. Preliminary results show visually that applied detecting method has 96% in an effectiveness level.

Original languageEnglish
Pages694-697
Number of pages4
Publication statusPublished - 1 Jan 2001
Event2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2001) - Victoria, BC, Canada
Duration: 26 Aug 200128 Aug 2001

Conference

Conference2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2001)
CountryCanada
CityVictoria, BC
Period26/08/0128/08/01

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    Gunawan, D. (2001). Microcalcification detection using wavelet transform. 694-697. Paper presented at 2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2001), Victoria, BC, Canada.