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Titlebook: Despeckle Filtering for Ultrasound Imaging and Video, Volume I; Algorithms and Softw Christos P. Loizou,Constantinos S. Pattichis Book 2015

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發(fā)表于 2025-3-21 17:09:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Despeckle Filtering for Ultrasound Imaging and Video, Volume I
副標(biāo)題Algorithms and Softw
編輯Christos P. Loizou,Constantinos S. Pattichis
視頻videohttp://file.papertrans.cn/270/269143/269143.mp4
叢書名稱Synthesis Lectures on Algorithms and Software in Engineering
圖書封面Titlebook: Despeckle Filtering for Ultrasound Imaging and Video, Volume I; Algorithms and Softw Christos P. Loizou,Constantinos S. Pattichis Book 2015
描述It is well known that speckle is a multiplicative noise that degrades image and video quality and the visual expert‘s evaluation in ultrasound imaging and video. This necessitates the need for robust despeckling image and video techniques for both routine clinical practice and tele-consultation. The goal for this book (book 1 of 2 books) is to introduce the problem of speckle occurring in ultrasound image and video as well as the theoretical background (equations), the algorithmic steps, and the MATLABTM code for the following group of despeckle filters: linear filtering, nonlinear filtering, anisotropic diffusion filtering, and wavelet filtering. This book proposes a comparative evaluation framework of these despeckle filters based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts. Despeckle noise reduction through the application of these filters will improve the visual observation quality or it may be used as a pre-processing step for further automated analysis, such as image and video segmentation, and texture characterization in ultrasound cardiovascular imaging, as well as in bandwidth reduction in ultrasound video transmission fo
出版日期Book 2015Latest edition
版次2
doihttps://doi.org/10.1007/978-3-031-01523-6
isbn_softcover978-3-031-00395-0
isbn_ebook978-3-031-01523-6Series ISSN 1938-1727 Series E-ISSN 1938-1735
issn_series 1938-1727
copyrightSpringer Nature Switzerland AG 2015
The information of publication is updating

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發(fā)表于 2025-3-21 22:57:01 | 只看該作者
Basics of Evaluation Methodology,Furthermore, the Image Despeckle Filtering (IDF) and Video Despeckle Filtering (VDF) software toolboxes are presented. Moreover, a number of image quality metrics are presented for evaluating the quality between the original and the despeckled images.
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發(fā)表于 2025-3-22 03:16:18 | 只看該作者
Linear Despeckle Filtering, code for selected filters and practical examples on phantom and real ultrasound images. There are three groups of filters presented in this chapter, first order statistics filtering, local statistics filtering and homogeneous mask area filtering (see also Table 1.3). Despeckle filtering was evaluat
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發(fā)表于 2025-3-22 07:53:50 | 只看該作者
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發(fā)表于 2025-3-22 11:09:31 | 只看該作者
Diffusion Despeckle Filtering,ode for selected filters and practical examples on phantom images. There are four different filters presented in this chapter which are the following: anisotropic diffusion, speckle reducing anisotropic diffusion, nonlinear anisotropic diffusion, and nonlinear coherent diffusion filtering (see also
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發(fā)表于 2025-3-22 15:30:48 | 只看該作者
Carl C. Gaither,Alma E. Cavazos-GaitherWavelet filtering exploits the decomposition of the image into the wavelet basis and zeros-out the wavelet coefficients in order to despeckle the image [70, 71, 89].
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發(fā)表于 2025-3-23 01:11:27 | 只看該作者
Wavelet Despeckle Filtering,Wavelet filtering exploits the decomposition of the image into the wavelet basis and zeros-out the wavelet coefficients in order to despeckle the image [70, 71, 89].
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發(fā)表于 2025-3-23 01:27:25 | 只看該作者
Evaluation of Despeckle Filtering,In this chapter we present an evaluation and comparison of the 16 despeckle filtering algorithms presented in Chapters 3–6. The evaluation is carried out on a phantom image, an artificial image and on real carotid and cardiac ultrasound images. Furthermore, findings on video despeckling are presented.
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發(fā)表于 2025-3-23 06:42:28 | 只看該作者
Despeckle Filtering for Ultrasound Imaging and Video, Volume I978-3-031-01523-6Series ISSN 1938-1727 Series E-ISSN 1938-1735
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