Despeckle Filtering for Ultrasound Imaging and Video Volume I is popular PDF and ePub book, written by Christos P. Loizou in 2022-05-31, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Despeckle Filtering for Ultrasound Imaging and Video Volume I can be Read Online from any device for your convenience.

Despeckle Filtering for Ultrasound Imaging and Video Volume I Book PDF Summary

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 for telemedicine applications. The aforementioned topics will be covered in detail in the companion book to this one. Furthermore, in order to facilitate further applications we have developed in MATLABTM two different toolboxes that integrate image (IDF) and video (VDF) despeckle filtering, texture analysis, and image and video quality evaluation metrics. The code for these toolsets is open source and these are available to download complementary to the two books. Table of Contents: Preface / Acknowledgments / List of Symbols / List of Abbreviations / Introduction to Speckle Noise in Ultrasound Imaging and Video / Basics of Evaluation Methodology / Linear Despeckle Filtering / Nonlinear Despeckle Filtering / Diffusion Despeckle Filtering / Wavelet Despeckle Filtering / Evaluation of Despeckle Filtering / Summary and Future Directions / References / Authors' Biographies

Detail Book of Despeckle Filtering for Ultrasound Imaging and Video Volume I PDF

Despeckle Filtering for Ultrasound Imaging and Video  Volume I
  • Author : Christos P. Loizou
  • Release : 31 May 2022
  • Publisher : Springer Nature
  • ISBN : 9783031015236
  • Genre : Technology & Engineering
  • Total Page : 154 pages
  • Language : English
  • PDF File Size : 13,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Despeckle Filtering for Ultrasound Imaging and Video Volume I by Christos P. Loizou, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Medical Image Understanding and Analysis

Medical Image Understanding and Analysis Author : María Valdés Hernández,Víctor González-Castro
Publisher : Springer
File Size : 37,7 Mb
Get Book
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Unders...

Engineer Your Software

Engineer Your Software Author : Scott A. Whitmire
Publisher : Springer Nature
File Size : 10,9 Mb
Get Book
Software development is hard, but creating good software is even harder, especially if your main job...

Cognitive Fusion for Target Tracking

Cognitive Fusion for Target Tracking Author : Ioannis Kyriakides
Publisher : Springer Nature
File Size : 45,8 Mb
Get Book
The adaptive configuration of nodes in a sensor network has the potential to improve sequential esti...