Lazy snapping
Top Cited Papers
- 1 August 2004
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 23 (3) , 303-308
- https://doi.org/10.1145/1015706.1015719
Abstract
In this paper, we present Lazy Snapping , an interactive image cutout tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy . Moreover, Lazy Snapping provides instant visual feedback, snapping the cutout contour to the true object boundary efficiently despite the presence of ambiguous or low contrast edges. Instant feedback is made possible by a novel image segmentation algorithm which combines graph cut with pre-computed over-segmentation. A set of intuitive user interface (UI) tools is designed and implemented to provide flexible control and editing for the users. Usability studies indicate that Lazy Snapping provides a better user experience and produces better segmentation results than the state-of-the-art interactive image cutout tool, Magnetic Lasso in Adobe Photoshop.This publication has 13 references indexed in Scilit:
- "GrabCut"Published by Association for Computing Machinery (ACM) ,2004
- Interactive digital photomontagePublished by Association for Computing Machinery (ACM) ,2004
- Pop-up light fieldACM Transactions on Graphics, 2004
- Graphcut texturesPublished by Association for Computing Machinery (ACM) ,2003
- A design tool for camera-based interactionPublished by Association for Computing Machinery (ACM) ,2003
- JetStream: probabilistic contour extraction with particlesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Object-based image editingPublished by Association for Computing Machinery (ACM) ,2002
- Intelligent scissors for image compositionPublished by Association for Computing Machinery (ACM) ,1995
- Watersheds in digital spaces: an efficient algorithm based on immersion simulationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984