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MMM
2016
Springer

Automatic Scribble Simulation for Interactive Image Segmentation Evaluation

3 years 15 days ago
Automatic Scribble Simulation for Interactive Image Segmentation Evaluation
To provide comprehensive evaluation of interactive image segmentation algorithms, we propose an automatic scribble simulation approach. We first analyze the variety of scribbles labelled by different users and its influence on segmentation result. Then, we describe the consistency and inconsistency of scribbles with normal distribution on superpixel level and superpixel group level, and analyze the effect of connection in scribble for interactive segmentation evaluation. Based on the above analysis, we simulate scribbles on foreground and background respectively by randomly selecting superpixel groups and superpixels with the previously determined coverage values. The experimental results show that the scribbles simulated by the proposed approach can obtain similar evaluation results to manually labelled scribbles and avoid serious deviation in precision and recall evaluation.
Bingjie Jiang, Tongwei Ren, Jia Bei
Added 08 Apr 2016
Updated 08 Apr 2016
Type Journal
Year 2016
Where MMM
Authors Bingjie Jiang, Tongwei Ren, Jia Bei
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