Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6941508 | Signal Processing: Image Communication | 2018 | 26 Pages |
Abstract
This paper addresses the problem of interactive object segmentation with an input rectangle. We present a coarse-to-fine method from region-level segmentation to pixel-level segmentation. In the region-level segmentation, the best combination of adjacent refined superpixels is selected as the coarse segmentation result by measuring its global contrast and tightness degree. Subsequently, we use the coarse segmentation result to aid the construction of the energy function in the pixel-level segmentation. The result can be further refined due to the fusion of region-level and pixel-level segmentation. Experimental results demonstrate that our method can achieve better segmentation performance.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Ran Shi, King Ngi Ngan, Songnan Li, Hongliang Li,