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Enhancement of medical image using spatial optimized filters and OpenMP technology

Abstract:

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.