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.

• Type: Journal
• Year: 2016
• Where: MMM
• Authors: Bingjie Jiang, Tongwei Ren, Jia Bei
• Keywords: MMM 2016, Multimedia