Clicks2Line: Using Lines for Interactive Image Segmentation
This work addresses the need for more efficient user interaction in image segmentation tools, though it appears incremental as it builds on existing click-based methods.
The paper tackles the problem of reducing user effort in interactive image segmentation by proposing an algorithm that adaptively uses lines instead of clicks for elongated regions, resulting in better segmentation outcomes in several cases.
For click-based interactive segmentation methods, reducing the number of clicks required to obtain a desired segmentation result is essential. Although recent click-based methods yield decent segmentation results, we observe that substantial amount of clicks are required to segment elongated regions. To reduce the amount of user-effort required, we propose using lines instead of clicks for such cases. In this paper, an interactive segmentation algorithm which adaptively adopts either clicks or lines as input is proposed. Experimental results demonstrate that using lines can generate better segmentation results than clicks for several cases.