Detection of Calcification Using Filter in Mammograms – A Survey
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-11 Number-1 |
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| Year of Publication : 2014 | ||
| Authors : C.Kaviya Prabha , S.Usha | ||
| DOI : 10.14445/22312803/IJCTT-V11P109 |
C.Kaviya Prabha , S.Usha."Detection of Calcification Using Filter in Mammograms – A Survey". International Journal of Computer Trends and Technology (IJCTT) V11(1):38-42, May 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Microcalcification is one of the key symptoms facilitating early detection of breast cancer. In this paper image are acquisition from the mini mias database and perform various steps they are image enhancement, feature extraction and classification .In image enhancement the images are enhanced using filters and the features are extracted from the enhanced image using Gabor filter, and classify the micro calcification using support vector machine to classify the masses into benign, malignant, normal.
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Keywords
mammograms,imageenhancement, feature extraction, classification.