文章基本信息

标题：Enhancement of Medical Image using Spatial Optimized Filters and OpenMP Technology
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作者：Luis Cadena ; Alexander Zotin ; Franklin Cadena 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：324-329
出版社：Newswood and International Association of Engineers
摘要：For remove noise digital filters are used which in the last decades have taken great impetus for the treatment of images in different fields of science and in the case of the medical image processing better results are obtained in order to make better interpretations. Medical images can contain some noise therefore it makes sense to suppress noise on preprocessing stage. For the research we used digital filters such as mean filter, Gaussian filter and median filter. The speed performance comparison of optimized and classical implementations of these filters was conducted. It shows great speed improvement of optimized implementation. The possibilities of modern hardware allow using parallel technology for image processing. The parallel implementations of noise reduction filters algorithms taking into account the data parallelism were made utilizing OpenMP technology. The comparison of parallel implementation of filters algorithm with sequential and classic implementation show great increase in performance. Thus the parallel implementation gives a performance boost in 2-3 times for optimized version of algorithms.
关键词：medical image; image processing; denoising;; Mean Filter; Median Filter; Gaussian 2D filter; parallel; programing; OpenMP.