SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
User-steered image segmentation paradigms: live wire and live lane
Graphical Models and Image Processing
Interactive segmentation with Intelligent Scissors
Graphical Models and Image Processing
Accelerating “intelligent scissors” using slimmed graphs
Journal of Graphics Tools
The PhotoShop 6 Wow! Book
Digital Image Processing
Computer Vision
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
G-wire: A livewire segmentation algorithm based on a generalized graph formulation
Pattern Recognition Letters
Creating Walk-Through Images from a Video Sequence of a Dynamic Scene
Presence: Teleoperators and Virtual Environments
Discrete Contour Extraction from Reference Curvature Function
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Synergistic arc-weight estimation for interactive image segmentation using graphs
Computer Vision and Image Understanding
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Live-wire type techniques for interactive image segmentation are of practical use for various applications such as medical image analysis, digital image composition, etc. Intelligent scissors [5] and live wire [8] are the representative techniques of this type, which are based on a graph search over an entire image. Another technique called live lane [8] is also based on a graph search but localizes the search domain to give an interactive feedback. Compared to the live wire, the live lane trades off the repeatability of segmentation for its time efficiency. In this paper, we present a novel image segmentation technique called enhanced lane, a modified version of the live lane that ensures both efficiency and repeatability. By restricting the search domain and updating the path map incrementally, the enhanced lane can extract objects from an image interactively with its efficiency comparable to that of the live lane while also keeping its repeatability comparable to that of the live wire. Based on the live lane paradigm, our technique also differs from the time-efficient version of live wire called live wire on the fly [9]: the enhanced lane always guarantees strictly bounded response time regardless of the image size and follows the target boundary with little digression which leads to better repeatability.