AN ENHANCED MAMMOGRAM DIAGNOSIS USING SHIFT-INVARIANT TRANSFORM

ICTACT Journal on Image and Video Processing ( Volume: 5 , Issue: 2 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff0f7a18000000f80e000001000a00
Breast cancer is a common disease for women and various techniques have been used to detect the breast cancer. The mammogram images are noise, low contrast and blur due to limitations of the X-ray hardware system. So, we should enhance the mammogram images for radiologist observation. To attain this, we strongly recognize that the digital mammography is a truthful technique with a new method and also it can easily identify the breast cancer at the very early stage before any symptoms are shown. In this paper, we propose NonSubsampled Contourlet Transform (NSCT) method for enhancing the mammogram images and the comparison between 2-D HAAR Discrete Wavelet Transform and Contourlet Transform. The NSCT extracts the shift-invariant multi-scale, multi-direction and the geometric information of mammogram images which is used to distinguish noise from weak edges than existing transformations.

Authors

K. Sankar1, K. Nirmala2
Manomaniam Sundaranar University, India1, Quaid-e-Milleth for Women College, India2

Keywords

Contourlet Transform, Discrete Wavelet Transform, Nonsubsampled Contourlet Transform, Mammogram Image Enhancement

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 5 , Issue: 2 )
Date of Publication
November 2014
Pages
920-925

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in