Jinrong Hu1, Zhiqin Lei1, Xiaoying Li2, *, Yongqun He3, Jiliu Zhou1
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 705-722, 2020, DOI:10.32604/cmc.2020.09878
Abstract The quality of ultrasound scanning images is usually damaged by speckle
noise. This paper proposes a method based on local statistics extracted from a histogram
to reduce ultrasound speckle through a region growing algorithm. Unlike single statistical
moment-based speckle reduction algorithms, this method adaptively smooths the speckle
regions while preserving the margin and tissue structure to achieve high detectability.
The criterion of a speckle region is defined by the similarity value obtained by matching
the histogram of the current processing window and the reference window derived from
the speckle region in advance. Then, according to the similarity value and tissue… More >
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