G.Bharatha Sreeja

Work place: PG Communication Systems, Cape Institute of Technology, Levengipuram, India

E-mail: bharathasreeja@yahoo.com


Research Interests: Image Compression, Image Manipulation, Medical Image Computing, Data Structures and Algorithms


G.Bharatha Sreeja, completed B.E (Electronics and Communication Engineering) in 2010 from Cape Institute of Technology, Anna University, Chennai. She is currently pursuing Final year M.E Communication Systems in Cape Institute of Technology, Anna University, Chennai. She has presented 4 papers in National and International Conferences. Her areas of interest include Medical Image Processing and Soft computing. 

Author Articles
Detection of Tumours in Digital Mammograms Using Wavelet Based Adaptive Windowing Method

By G.Bharatha Sreeja P. Rathika D. Devaraj

DOI: https://doi.org/10.5815/ijmecs.2012.03.08, Pub. Date: 8 Mar. 2012

Mammography is the most effective procedure for the early detection of breast diseases. Mammogram analysis refers the processing of mammograms with the goal of finding abnormality presented in the mammogram. In this paper, the tumour can be detected by using wavelet based adaptive windowing technique. Coarse segmentation is the first step which can be done by using wavelet based histogram thresholding where, the thereshold value is chosen by performing 1-D wavelet based analysis of PDFs of wavelet transformed images at different channels. Fine segmentation can be done by partitioning the image into fixed number of large and small windows. By calculating the mean, maximum and minimum pixel values for the windows a threshold value has been obtained. Depending upon the threshold values the suspicious areas have been segmented. Intensity adjustment is applied as a preprocessing step to improve the quality of an image before applying the proposed technique. The algorithm is validated with mammograms in Mammographic Image Analysis Society Mini Mammographic database which shows that the proposed technique is capable of detecting lesions of very different sizes.

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