Hybrid UWB based imaging technique for breast tumour detection by using enhanced robust and artifact removal algorithm

Abstract

Breast tumour is the high risk disease among women which often causes life threatening fear. In order to recognize the tumour infected breast image UWB imaging technique is utilized. Thus utilized breast image is pre processed for eliminating noise and unnecessary data by Adaptive wiener filter and Recursive least square filter. Henceforth pre processed image is given to FDTD for investigating the breast image for tumour recognition. Thus obtained image given to RAR algorithm for removal artifact from tumour suspected image. Thus obtained image is made auto correlation for brightening the tumour infected areas. Then the breast images are segmented by edge based tumour segmentation and the results are classified with DAS & DMAS algorithm for better accuracy & sensitivity of image.