Unsupervised segmentation using dynamic superpixel random walks
Unsupervised segmentation using dynamic superpixel random walks
Desrosiers, Christian
Proceedings – International Conference on Image Processing, ICIP 2015
Abstract : This paper presents a new segmentation method that combines random walks with superpixels. In this method, the coarseness of the segmentation is controlled using a single parameter. By using superpixels, the method can recompute the segmentation efficiently, making the parameter tuning process interactive. Moreover, an efficient strategy is proposed to adjust dynamically the parameters to the image’s content, making our method more robust than existing approaches. Experiments performed on the Berkeley BSD300 segmentation database show our interactive method to outperform state-of-the-art approaches for this task.