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Lazy snapping
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.
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Citations
Cited by
Random Walks for Image Segmentation
Grady, L. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.233 · Cited by 2,624
Graph Cuts and Efficient N-D Image Segmentation
Boykov, Y., & Funka-Lea, G. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7934-5 · Cited by 1,910
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Lin, D., Dai, J., Jia, J., He, K., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.344 · Cited by 1,129
Self-citationHoiem, D., Efros, A. A., & Hebert, M. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073232 · Cited by 616
Deep Interactive Object Selection
Xu, N., Price, B., Cohen, S., Yang, J., & Huang, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.47 · Cited by 460
Metadata
- Authors
- Li, Y., Sun, J., Tang, C.-K., & Shum, H.-Y.
- Venue
- ACM Transactions on Graphics
- Published
- 2004-08
- Volume
- 23
- Issue
- 3
- Pages
- 303-308
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2294819727
- Cited by
- 1,097
- References
- 0
- FWCI
- 53.33
- Type
- journal article
- Language
- en
- Open access
- closed
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