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Visualization of parameter space for image analysis

Pretorius, AJ, Bray, MA, Carpenter, AE and Ruddle, RA (2011) Visualization of parameter space for image analysis. IEEE Transactions on Visualization and Computer Graphics, 17 (12). 2402 - 2411 . ISSN 1077-2626


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Image analysis algorithms are often highly parameterized and much human input is needed to optimize parameter settings. This incurs a time cost of up to several days. We analyze and characterize the conventional parameter optimization process for image analysis and formulate user requirements. With this as input, we propose a change in paradigm by optimizing parameters based on parameter sampling and interactive visual exploration. To save time and reduce memory load, users are only involved in the first step--initialization of sampling--and the last step--visual analysis of output. This helps users to more thoroughly explore the parameter space and produce higher quality results. We describe a custom sampling plug-in we developed for CellProfiler--a popular biomedical image analysis framework. Our main focus is the development of an interactive visualization technique that enables users to analyze the relationships between sampled input parameters and corresponding output. We implemented this in a prototype called Paramorama. It provides users with a visual overview of parameters and their sampled values. User-defined areas of interest are presented in a structured way that includes image-based output and a novel layout algorithm. To find optimal parameter settings, users can tag high- and low-quality results to refine their search. We include two case studies to illustrate the utility of this approach.

Item Type: Article
Copyright, Publisher and Additional Information: © 2011, IEEE. This is an author produced version of a paper published in IEEE Transactions on Visualization and Computer Graphics. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Algorithms, Androstadienes, Cell Line, Cell Nucleus, Chromones, Computer Graphics, Computer Simulation, Humans, Image Processing, Computer-Assisted, Morpholines, Software, User-Computer Interface
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 Jun 2012 10:46
Last Modified: 22 Sep 2014 22:31
Published Version: http://dx.doi.org/10.1109/TVCG.2011.253
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TVCG.2011.253
URI: http://eprints.whiterose.ac.uk/id/eprint/74328

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