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Research on Comparison and Evaluation Studies of Several Smoothing Denoising Method Based on γ-ray Spectrum Detector 被引量:1
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作者 Jian-Feng He Fang Fang +2 位作者 Yao-Zong Yang Yue-Shun He Bin Tang 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2013年第2期7-11,共5页
The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI (TI) gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothi... The extraction of spectral parameters is very difficult because of the limited energy resolution for NaI (TI) gamma-ray detectors. For statistical fluctuation of radioactivity under complex environment, some smoothing filtering methods are proposed to solve the problem. These methods include adopting method of arithmetic moving average, center of gravity, least squares of polynomial, slide converter of discrete funcion convolution etc. The process of spectrum data is realized, and the results are assessed in H/FWHM( Peak High/Full Width at Half Maximum) and peak area based on the Matlab programming. The results indicate that different methods smoothed spectrum have respective superiority in different ergoregion, but the Gaussian function theory in discrete function convolution slide method is used to filter the complex y-spectrum on Embedded system nlatform, and the statistical fluctuation of y-snectrum filtered wall. 展开更多
关键词 T-spectrum data-processing smoothing denoising method comparison and evaluation matlabprogramming
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Extraction of Submerged Topographic Line in B-Scan Ultrasonic Image
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作者 SONG Huan ZOU Xianjian YANG Weili 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2015年第4期350-354,共5页
The analysis of underwater topography ultrasonic image, which can be obtained by using B-scan ultrasound imaging technique, is the basis and important work in topography study. In this paper, we present a novel self-a... The analysis of underwater topography ultrasonic image, which can be obtained by using B-scan ultrasound imaging technique, is the basis and important work in topography study. In this paper, we present a novel self-adapted method for the extraction of submerged topographic line. Since the distribution of gray values in the image has a mutation process, this feature is used to appropriately track the topographic line of imaging band, and wavelet denoising method is applied to denoise the obtained lines. The described method also takes the continuity of topography into consideration during tracking procedure. The results show that the extraction error is within 2-pixel width(approximate 1 mm). This method is suitable for the extraction of current model topographic lines with the advantages of good self-adaption, high speed and high resolution. 展开更多
关键词 ultrasonic image submerged topography wavelet denoising method self-adapted tracking
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