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Toward automated evaluation of interactive segmentation

McGuinness, Kevin and O'Connor, Noel E. (2011) Toward automated evaluation of interactive segmentation. Computer Vision and Image Understanding, 115 (6). pp. 868-884. ISSN 1077-3142

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We previously described a system for evaluating interactive segmentation by means of user experiments (McGuinness and O’Connor, 2010). This method, while effective, is time-consuming and labor-intensive. This paper aims to make evaluation more practicable by investigating if it is feasible to automate user interactions. To this end, we propose a general algorithm for driving the segmentation that uses the ground truth and current segmentation error to automatically simulate user interactions. We investigate four strategies for selecting which pixels will form the next interaction. The first of these is a simple, deterministic strategy; the remaining three strategies are probabilistic, and focus on more realistically approximating a real user. We evaluate four interactive segmentation algorithms using these strategies, and compare the results with our previous user experiment-based evaluation. The results show that automated evaluation is both feasible and useful.

Item Type:Article (Published)
Uncontrolled Keywords:Image Segmentation, Segmentation Evaluation
Subjects:Computer Science > Interactive computer systems
Computer Science > Image processing
Computer Science > Algorithms
Computer Science > Computer simulation
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
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Copyright Information:© Elsevier 2011.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:K-Space, CLARITY
ID Code:16307
Deposited On:05 May 2011 10:45 by Dr. Kevin McGuinness. Last Modified 09 Feb 2017 13:58

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