Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

A Novel Method of Detecting Calcifications from Mammogram Images Based on Wavelet and Sobel Detector

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kai-Yang Li ; Lab. of Biophys. & Biomedical Eng., Wuhan Univ. ; Zheng Dong

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

Published in:

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Date of Conference:

25-28 June 2006