Hybrid UWB Based Imaging Technique for Breast Tumour Detection by using Enhanced Robust and Artifact Removal Algorithm
E.Govinda1, V. B. S. S. Indira Dutt2

1E. Govinda, Department of Electronics and Communication Engineering, Avanthi Institute of Engineering and Technology, Visakhapatnam, (Andhra Pradesh), India.
2Dr. V.B.S.S. Indira Dutt, Department of Electronics and Communication Engineering, GITAM University, Visakhapatnam, (Andhra Pradesh), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 486-490 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2454037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Delay and Sum (DAS), UWB (Ultra Wide Band), Robust and Artifact Resistant algorithm (RAR)
Scope of the Article: Artificial Intelligent Methods, Models, Techniques