文章基本信息

标题：EDGE AND TEXTURE PRESERVING HYBRID ALGORITHM FOR DENOISING INFIELD ULTRASOUND MEDICAL IMAGES
本地全文：下载
作者：P.V.V.KISHORE ; D.KISHORE KUMAR ; D.ANIL KUMAR 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：86
期号：1
出版社：Journal of Theoretical and Applied
摘要：Medical Ultrasound Imaging is a rapidly growing allied field of Imaging Technology which is widely used around the world for diagnosis by clinicians. Non ionizing radiation is what makes ultrasound imaging safe for non-invasive imaging of human tissues. However, visual quality of ultrasound images poses a challenge for the medical practitioner due to multiple reflections of ultrasound signals. Numerous attempts have been made previously to improve the visual quality of the ultrasound images. The paper presents a novel, structured visual quality improvement mechanism based on daubechies (db) wavelet transform. In the proposed methodology, the segmentation of the ultrasound medical image is carried out with the help of active contour technique. The segmented image and the original image are transformed into wavelet domain. Selected wavelet coefficients are combined to improve the visual quality in terms of contrast and edges enhancements. Visual quality enhancement is emphasized with experimentation on medical ultrasound images obtained from AMMA Hospital radiology scanning center in India. Usefulness of the proposed algorithm is judged against denoising algorithms such as empirical mode decomposition (EMD), linear filtering (LF), median filtering (MF), wiener filtering (WF), wavelet based hard and soft thresholding and wavelet block based soft and hard thresholding. Visual quality metrics computed are peak signal to noise ratio (PSNR), normalized cross correlation (NCC), edge strength (ES), image quality index (IQI) and structured similarity index (SSI). Simulations demonstrate that the proposed enhancement algorithm outperformed the existing de-noising algorithms, instigating for actual medical application.
关键词：Ultrasound Medical Imaging; Active Contour; Discrete Wavelet Transform; Image Fusion; Image Denoising.