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Titlebook: Despeckle Filtering Algorithms and Software for Ultrasound Imaging; Christos P. Loizou,Constantinos S. Pattichis Book 2008 Springer Nature

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Comparison and Discussion of Despeckle Filtering Algorithms, in the case of image quality evaluation and visual evaluation by the experts. In this study, a total of 10 despeckle filters were comparatively evaluated on 440 ultrasound images of the carotid artery bifurcation, and the validation results are summarized in Table 5.1.
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Kulturelle und Soziale Entwicklung,This chapter provides the basic theoretical background of despeckle filtering techniques together with their algorithmic implementation and MATLAB. code for selected filters. The four groups of filters presented are linear filtering, nonlinear filtering, diffusion filtering, and wavelet filtering.
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Despeckle Filtering Algorithms,This chapter provides the basic theoretical background of despeckle filtering techniques together with their algorithmic implementation and MATLAB. code for selected filters. The four groups of filters presented are linear filtering, nonlinear filtering, diffusion filtering, and wavelet filtering.
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Evaluation Methodology,number of image quality metrics are presented for evaluating the quality between the original and despeckled images. Finally, the procedure of visual evaluation carried out by the experts is introduced.
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Book 2008 the need for robust despeckling techniques for both routine clinical practice and teleconsultation. The goal for this book is to introduce the theoretical background (equations), the algorithmic steps, and the MATLAB™ code for the following group of despeckle filters: linear filtering, nonlinear fi
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