Image, Video and 3D Data Registration: Medical, Satellite and Video Processing Applications with Quality Metrics(Hardcover)
暫譯: 影像、視頻與3D數據配準:醫療、衛星及視頻處理應用與質量指標(精裝版)

Vasileios Argyriou, Jesus Martinez Del Rincon, Barbara Villarini, Alexis Roche

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商品描述

Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods. This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state-of-the-art registration methodologies used in a variety of targeted applications. Key features: * Provides a state-of-the-art review of image and video registration techniques, allowing readers to develop an understanding of how well the techniques perform by using specific quality assessment criteria * Addresses a range of applications from familiar image and video processing domains to satellite and medical imaging among others, enabling readers to discover novel methodologies with utility in their own research * Discusses quality evaluation metrics for each application domain with an interdisciplinary approach from different research perspectives

商品描述(中文翻譯)

數據註冊是指一系列技術,用於匹配或將相似的物體或數據集對齊。這些技術在各種應用中廣泛使用,例如視頻編碼、追蹤、物體和人臉檢測與識別、監控和衛星成像、醫學影像分析以及運動重建。註冊方法的種類繁多,從像素級別和基於區塊或特徵的方法到傅立葉域方法。本書專注於提供註冊的算法以及影像和視頻技術,並提供質量性能指標。作者提供了各種評估指標,用於測量註冊質量,並分析註冊技術,介紹並解釋在各種目標應用中使用的熟悉和最先進的註冊方法論。主要特點包括:* 提供影像和視頻註冊技術的最先進回顧,使讀者能夠通過使用特定的質量評估標準來了解這些技術的性能 * 涉及從熟悉的影像和視頻處理領域到衛星和醫學成像等多種應用,使讀者能夠發現在自己研究中有用的新方法 * 討論每個應用領域的質量評估指標,並從不同的研究視角採取跨學科的方法。