P. Rathika

Work place: ECE Dept., Cape Institute of Technology, Levengipuram, India

E-mail: rathikasakthikumar@yahoo.co.in


Research Interests: Computer systems and computational processes, Autonomic Computing, Image Processing


Dr.P.Rathika completed her B.E. (Electrical and Electronics Engineering) in 2001 from Dr.Sivanthi Aditanar College of Engineering, MS University and M.E. (Applied Electronics) in 2003 from Coimbatore Institute of Technology, Bharathiyar University. She did her Ph.D. (Electrical Engineering) in 2011 from Anna University, Chennai. She has got more than 8 years of teaching experience and 6 years of research experience. Her areas of interest include Soft computing, Power Quality, Digital Signal Processing, Solar PV system. She has published 4 papers international journals and 18 papers in conference proceedings. 

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.

[...] Read more.
Other Articles