Paper Title :Tree Encoder Based Mammogram Image Compression And Its Application To Classification Of Microcalcification
Author :Elumalai K, Benjamin Joseph A, Baskaran R
Article Citation :Elumalai K ,Benjamin Joseph A ,Baskaran R ,
(2014 ) " Tree Encoder Based Mammogram Image Compression And Its Application To Classification Of Microcalcification " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 87-91,
Volume-2,Issue-7
Abstract : Medical image processing is a backbone for the rapid development in the field of medical science. Huge diagnosis
in the medical field depends on image processing which is due to the rapid development in computer aided diagnosis. This
article proposes a tree encoder based mammogram image compression and its application to classification of micro
calcification. Mammogram images are huge in size which requires preprocessing, compression and classification process for
diagnosis. In this work, mammogram images are compressed using tree based encoder SPIHT in order to reduce the size of
image. Further the image is preprocessed to remove the redundant portion using improved watershed algorithm. Then the
image is classified as benign and malignant using training data set. The experiment has been carried out on the various
mammogram images obtained from MIAS database. The results seem to be promising in terms of compression ratio and PSNR
for compression and in terms of accuracy, sensitivity and specificity for classification
Type : Research paper
Published : Volume-2,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-993
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Published on 2014-07-01 |
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