DocumentCode :
3071865
Title :
An analysis on breast tissue characterization in combined transform domain using nearest neighbor classifiers
Author :
Prathibha, B.N. ; Sadasivam, V.
Author_Institution :
Deptartment of Comput. Sci. & Engg, Manonmanium Sundaranar Univ., Tirunelveli, India
fYear :
2011
fDate :
18-19 March 2011
Firstpage :
50
Lastpage :
54
Abstract :
Mammography is a well established imaging technique for showing tissue abnormalities of breast and has been proven to reduce death rate due to breast cancer in screened populations of women. The proposed method classifies the breast tissues according to severeness of abnormality (benign or malign) using combined transform domain features. The discrete wavelet transform (DWT) features are merged with discrete cosine transform (DCT) features. The method is tested on 212 mammogram images from the MIAS database. The cascaded transform domain proves to be a promising tool for robust classification. It yields 94.39% of accuracy in classification of normal and benign samples, 90.65% of accuracy in classification of normal and malign samples and 78.50 % of accuracy in classification of benign and malign samples. Classification is done with a combination of nearest neighbor (NN) classifiers; kNN, class based NN and density based NN.
Keywords :
biological tissues; discrete cosine transforms; discrete wavelet transforms; image classification; mammography; medical image processing; MIAS database; breast tissue characterization; cascaded transform domain; class based nearest neighbor; combined transform domain; density based nearest neighbor; discrete cosine transform; discrete wavelet transform; imaging technique; kNN; mammogram images; mammography; nearest neighbor classifier; Accuracy; Artificial neural networks; Discrete cosine transforms; Discrete wavelet transforms; Feature extraction; Nearest neighbor searches; DCT; DWT; NN classifier; mammograms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Communication and Electrical Technology (ICCCET), 2011 International Conference on
Conference_Location :
Tamilnadu
Print_ISBN :
978-1-4244-9393-7
Type :
conf
DOI :
10.1109/ICCCET.2011.5762437
Filename :
5762437
Link To Document :
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