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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1938-1727 and video segmentation, and texture characterization in ultrasound cardiovascular imaging, as well as in bandwidth reduction in ultrasound video transmission fo978-3-031-00395-0978-3-031-01523-6Series ISSN 1938-1727 Series E-ISSN 1938-1735

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Despeckle Filtering for Ultrasound Imaging and Video, Volume IAlgorithms and Softw

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1938-1727 nd 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 theore

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Carl C. Gaither,Alma E. Cavazos-Gaitherfirst order statistics filtering, local statistics filtering and homogeneous mask area filtering (see also Table 1.3). Despeckle filtering was evaluated for all filters presented in this book on phantom ultrasound carotid artery images (see Fig. 2.1) and real ultrasound images (see Fig. 1.7) and videos (see Fig. 7.6) of the CCA.

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Linear Despeckle Filtering,first order statistics filtering, local statistics filtering and homogeneous mask area filtering (see also Table 1.3). Despeckle filtering was evaluated for all filters presented in this book on phantom ultrasound carotid artery images (see Fig. 2.1) and real ultrasound images (see Fig. 1.7) and videos (see Fig. 7.6) of the CCA.