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.
|Number of pages||4|
|Publication status||Published - 1 Jan 2001|
|Event||2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2001) - Victoria, BC, Canada|
Duration: 26 Aug 2001 → 28 Aug 2001
|Conference||2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 2001)|
|Period||26/08/01 → 28/08/01|