Title :
Detection of microcalcifications in mammograms using higher order statistics
Author :
Gürcan, M. Nafi ; Yardimci, Yasemin ; Çetin, ç Enis ; Ansari, Rashid
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Abstract :
A new method for detecting microcalcifications in mammograms is described. In this method, the mammogram image is first processed by a subband decomposition filterbank. The bandpass subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. The detection method utilizes these two parameters. A region with high positive skewness and kurtosis is marked as a region of interest. Simulation results show that this method is successful in detecting regions with microcalcifications.
Keywords :
band-pass filters; diagnostic radiography; higher order statistics; image segmentation; medical image processing; object detection; asymmetry; bandpass subimage; higher order statistics; impulsiveness; kurtosis; mammogram image; mammograms; microcalcifications; overlapping square regions; skewness; subband decomposition filterbank; Breast cancer; Breast tissue; Calcium; Computational modeling; Computer aided diagnosis; Filter bank; Higher order statistics; Image reconstruction; Lesions; Random variables;
Journal_Title :
Signal Processing Letters, IEEE
