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Titlebook: Despeckle Filtering for Ultrasound Imaging and Video, Volume II; Selected Application Christos P. Loizou,Constantinos S. Pattichis Book 201

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发表于 2025-3-21 17:03:30 | 显示全部楼层 |阅读模式
书目名称Despeckle Filtering for Ultrasound Imaging and Video, Volume II
副标题Selected Application
编辑Christos P. Loizou,Constantinos S. Pattichis
视频video
丛书名称Synthesis Lectures on Algorithms and Software in Engineering
图书封面Titlebook: Despeckle Filtering for Ultrasound Imaging and Video, Volume II; Selected Application Christos P. Loizou,Constantinos S. Pattichis Book 201
描述In ultrasound imaging and video visual perception is hindered by speckle multiplicative noise that degrades the quality. Noise reduction is therefore essential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the problem of speckle in ultrasound image and video as well as the theoretical background, algorithmic steps, and the MatlabTM for the following group of despeckle filters: linear despeckle filtering, non-linear despeckle filtering, diffusion despeckle filtering, and wavelet despeckle filtering. The goal of this book (book 2 of 2 books) is to demonstrate the use of a comparative evaluation framework based on these despeckle filters (introduced on book 1) on cardiovascular ultrasound image and video processing and analysis. More specifically, the despeckle filtering evaluation framework is based on texture analysis, image quality evaluation metrics, and visual evaluation by experts. This framework is applied in cardiovascular ultrasound image/video processing on t
出版日期Book 2015Latest edition
版次2
doihttps://doi.org/10.1007/978-3-031-01524-3
isbn_softcover978-3-031-00396-7
isbn_ebook978-3-031-01524-3Series 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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发表于 2025-3-21 22:07:10 | 显示全部楼层
Summary and Future Directions, plaque (see Chapter 2), on the results for texture analysis and image/video quality evaluation (see Chapter 3) and on the findings for the wireless ultrasound video communication and encoding (see Chapter 4). Furthermore, areas of future research directions on despeckle filtering and briefly discussed.
发表于 2025-3-22 02:41:32 | 显示全部楼层
1938-1727 therefore essential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the problem of
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发表于 2025-3-22 13:10:39 | 显示全部楼层
Book 2015Latest editionessential for improving the visual observation quality or as a pre-processing step for further automated analysis, such as image/video segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the problem of speckle i
发表于 2025-3-22 19:42:20 | 显示全部楼层
Evaluation of Despeckle Filtering of Carotid Plaque Imaging and Video Based on Texture Analysis,he kNN classifier, which are used to evaluate despeckle filtering (see also companion volume I [1]) on imaging and video. Finally, the procedure of visual despeckle filtering evaluation carried out by experts is presented.
发表于 2025-3-22 21:15:55 | 显示全部楼层
Wireless Video Communication Using Despeckle Filtering and HEVC,the new High Efficiency Video Coding (HEVC) standard, the use of despeckle filtering facilitates significant bitrate gains for equivalent clinical quality, which can provide for beyond high-definition (HD) real-time communication of ultrasound video over emerging wireless networks. The presented study is based on [188–190].
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Carl C. Gaither,Alma E. Cavazos-GaitherIn the following chapters we will present the application and results of the segmentation of the IMC the ML and the IL of the CCA as well as the segmentation of the atherosclerotic carotid plaque from ultrasound images and videos.
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