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fulin369

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lyx123123: 金币+15, ★★★★★最佳答案 2013-08-06 09:28:08
Accession number:       
20132716474800
        Title:        Ultrasonic image de-noising based on new wavelet threshold function
        Authors:         Liu, Yan Xia1 ; Han, Bing1 ; Li, Yanu2 ; Dong, Bei Bei1 ; Cao, Yan Yan1
        Author affiliation:        1 College of Information Science and Engineering, Hebei North University, Hebei, China
                2 Department of Electrical Engineering, Vocational College of Technology, Hebei, China
        Source title:        Applied Mechanics and Materials
        Abbreviated source title:        Appl. Mech. Mater.
        Volume:        327
        Monograph title:        Advanced Research on Materials, Applied Mechanics and Design Science
        Issue date:        2013
        Publication year:        2013
        Pages:        1641-1644
        Language:        English
        ISSN:         16609336
        E-ISSN:         16627482
        ISBN-13:         9783037857175
        Document type:        Conference article (CA)
        Conference name:        2nd International Conference on Intelligent Materials, Applied Mechanics and Design Science, IMAMD 2013
        Conference date:        April 13, 2013 - April 14, 2013
        Conference location:        Guangzhou, China
        Conference code:         97684
        Sponsor:        International Science and Education Researcher Association, China; Beijing Gireida Education Research Center; VIP-Information Conference Center, China
        Publisher:        Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
        Abstract:        In order to improve the quality of image de-noising,against the disadvantages of the distortion caused by the method of the hard threshold de-noising and the fuzzy phenomenon of the details caused by the method of the soft threshold de-noising, this article proposes a new method of wavelet threshold de-noising for the ultrasonic images. It is indicated in the simulation result that this method has good de-noising function: it can remove the noise effectively and retain the details of the images and the edge information at the same time. © (2013) Trans Tech Publications, Switzerland.
        Number of references:        6
        Main heading:         Image denoising
        Controlled terms:         Design  -  Ultrasonic imaging  -  Wavelet transforms
        Uncontrolled terms:         De-noising  -  Edge information  -  Soft threshold  -  Threshold  -  Threshold de-noising  -  Wavelet threshold  -  Wavelet threshold de-noising
        Classification code:         408 Structural Design -  716.1 Information Theory and Signal Processing -  753.1 Ultrasonic Waves -  921.3 Mathematical Transformations
        DOI:        10.4028/www.scientific.net/AMM.325-326.1641
        Database:        Compendex
                Compilation and indexing terms, © 2012 Elsevier Inc.
4楼2013-08-06 08:58:22
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lyx123123

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Applied Mechanics and Materials Vols. 325-326 (2013) pp 1641-1644
Yanxia Liu1a, Bing Han1a,Yan Li2b, Beibei Dong1a ,Yanyan Cao1a
2楼2013-08-05 17:01:14
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lyx123123

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哪位大仙帮我查一下检索了没?
3楼2013-08-05 17:20:48
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lyx123123

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谢谢啦!
怎样发金币呢?
5楼2013-08-06 09:30:32
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