书目名称 | Web Microanalysis of Big Image Data | 编辑 | Peter Bajcsy,Joe Chalfoun,Mylene Simon | 视频video | | 概述 | Provides web tools and introductory information about methods and infrastructure components for processing images from big data microscopy experiments.Offers design choices and tradeoffs in web image | 图书封面 |  | 描述 | .This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to demonstrate how information processing of repetitive, laborious and tedious analysis can be automated with a user-friendly system. Interactions of web system components and their impact on computational scalability, provenance information gathering, interactive display, and computing are explained in a top-down presentation of technical details. .Web Microanalysis of Big Image Data .includes descriptions of WIPP functionalities, use cases, and components of the web software system (web server and client architecture, algorithms, and hardware-software dependencies)...The book comes with test image collections and a web software system to increase the reader‘s understanding and to provide practical tools for conducting big image experiments...By providing educational materials and software tools at the intersection of microscopy image analyses and computational | 出版日期 | Book 2018 | 关键词 | Microscopy imaging; Image analyses; Image stitching; Image segmentation; Image tracking; Image feature ex | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-63360-2 | isbn_softcover | 978-3-319-87533-0 | isbn_ebook | 978-3-319-63360-2 | copyright | Springer International Publishing AG 2018 |
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