DocumentCode
2868350
Title
A Novel Method of Detecting Calcifications from Mammogram Images Based on Wavelet and Sobel Detector
Author
Li, Kai-Yang ; Dong, Zheng
Author_Institution
Lab. of Biophys. & Biomedical Eng., Wuhan Univ.
fYear
2006
fDate
25-28 June 2006
Firstpage
1503
Lastpage
1508
Abstract
Mammography is the most widely used and the most efficient method for detection of breast cancer. In which, calcifications are the most important signs of breast cancers. In order to help the radiologist read the mammograms more efficiently, detection of calcifications becomes a significant problem for the computer-aid diagnosis. A novel method of detecting calcifications from mammogram images based on wavelet transformation and Sobel detector, is introduced in this paper. A wavelet based image enhancement technique and the Sobel gradient operator are used consequently, to distinguish the calcifications from the breast tissues
Keywords
cancer; image enhancement; mammography; medical image processing; wavelet transforms; Sobel detector; breast cancer detection; calcifications detection; computer-aid diagnosis; image enhancement technique; mammogram images; mammography; wavelet detector; wavelet transformation; Automation; Breast cancer; Breast tissue; Cancer detection; Detectors; Diseases; Filters; Laboratories; Mammography; Mechatronics; Mammogram; Sobel detector; calcification; wavelet-based enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location
Luoyang, Henan
Print_ISBN
1-4244-0465-7
Electronic_ISBN
1-4244-0466-5
Type
conf
DOI
10.1109/ICMA.2006.257397
Filename
4026312
Link To Document