DocumentCode :
2911091
Title :
System for inspection of large high-resolution radiography datasets
Author :
Wypych, Tom ; Yamaoka, So ; Ponto, Kevin ; Kuester, Falko
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California San Diego, La Jolla, CA, USA
fYear :
2011
fDate :
5-12 March 2011
Firstpage :
1
Lastpage :
9
Abstract :
High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid automated filtering, alignment, segmentation, characterization, and feature identification from image collections, the extraction of new insights still strongly depends on human intervention. In real-time capture and immediate-mode analysis environments where image data has to be continuously and interactively processed, a broad set of challenges in the image-driven verification and analysis cycle have to be addressed. A framework for interactive and intuitive inspection of large, high-resolution image data sets is presented, leveraging the strength of the human visual system for large-scale image processing. A case study is provided for an X-ray radiography system, covering the scanner-to-screen data management and representation pipeline, resulting in a visual analytics environment enabling analytical reasoning by means of interactive and intuitive visualization.
Keywords :
data analysis; data visualisation; feature extraction; image resolution; radiography; X-ray radiography system; automated filtering; high resolution image collection; high resolution radiography dataset; human intervention; human visual system; image driven verification; immediate mode analysis; large scale image processing; representation pipeline; scanner to screen data management; visual analytics environment; Data visualization; Imaging; Inspection; Pixel; Radar imaging; Visual analytics; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2011 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4244-7350-2
Type :
conf
DOI :
10.1109/AERO.2011.5747534
Filename :
5747534
Link To Document :
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