Despeckle Filtering for Ultrasound Imaging and Video, Volume II, 2nd Edition: Selected Applications
暫譯: 超聲影像與視頻去斑濾波技術,第二卷,第二版:選定應用

Christos P. Loizou, Constantinos S. Pattichis

  • 出版商: Morgan & Claypool
  • 出版日期: 2015-08-01
  • 售價: $2,090
  • 貴賓價: 9.5$1,986
  • 語言: 英文
  • 頁數: 180
  • 裝訂: Paperback
  • ISBN: 1627058141
  • ISBN-13: 9781627058148
  • 海外代購書籍(需單獨結帳)

買這商品的人也買了...

商品描述

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 the tasks of segmentation and structural measurements, texture analysis for differentiating between two classes (i.e. normal vs disease) and for efficient encoding for mobile applications. It is shown that despeckle noise reduction improved segmentation and measurement (of tissue structure investigated), increased the texture feature distance between normal and abnormal tissue, improved image/video quality evaluation and perception and produced significantly lower bitrates in video encoding. 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 monographs.

商品描述(中文翻譯)

在超聲影像中,視頻視覺感知受到斑點乘法噪聲的影響,這會降低影像質量。因此,噪聲減少對於改善視覺觀察質量或作為進一步自動化分析的預處理步驟(例如影像/視頻分割、紋理分析和編碼)是至關重要的。本書的第一部分(共兩本書的第一本)旨在介紹超聲影像和視頻中的斑點問題,以及理論背景、算法步驟和用於以下一組去斑點濾波器的 MatlabTM:線性去斑點濾波、非線性去斑點濾波、擴散去斑點濾波和小波去斑點濾波。本書的目標(共兩本書的第二本)是展示基於這些去斑點濾波器(在第一本書中介紹)的比較評估框架在心血管超聲影像和視頻處理及分析中的應用。更具體地說,去斑點濾波評估框架基於紋理分析、影像質量評估指標和專家的視覺評估。該框架應用於心血管超聲影像/視頻處理中的分割和結構測量任務,進行紋理分析以區分兩個類別(即正常與疾病),並為移動應用提供高效的編碼。結果顯示,去斑點噪聲減少改善了分割和測量(所研究的組織結構),增加了正常組織與異常組織之間的紋理特徵距離,改善了影像/視頻質量評估和感知,並在視頻編碼中產生了顯著較低的比特率。此外,為了促進進一步的應用,我們在 MATLABTM 中開發了兩個不同的工具箱,整合了影像(IDF)和視頻(VDF)去斑點濾波、紋理分析以及影像和視頻質量評估指標。這些工具集的代碼是開源的,並可下載,作為這兩本專著的補充資料。