Clicks2Line: Using Lines for Interactive Image Segmentation

TL;DR

This paper introduces a new interactive image segmentation method that adaptively uses lines instead of clicks to improve segmentation quality and reduce user effort, especially for elongated regions.

Contribution

It proposes an adaptive algorithm that switches between clicks and lines as input, demonstrating improved segmentation results with lines for elongated regions.

Findings

Using lines yields better segmentation for elongated regions.

The adaptive method reduces user effort compared to click-only approaches.

Experimental results validate the effectiveness of lines over clicks in certain cases.

Abstract

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.