Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive segmentation of image volumes with Live Surface
Computers and Graphics
An energy minimization approach to the data driven editing of presegmented images/volumes
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
A 3d live-wire segmentation method for volume images using haptic interaction
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Active learning for interactive 3d image segmentation
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
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We present Spotlight, an automated user guidance technique for improving quality and efficiency of interactive segmentation tasks. Spotlight augments interactive segmentation algorithms by automatically highlighting areas in need of attention to the user during the interaction phase. We employ a 3D Livewire algorithm as our base segmentation method where the user quickly provides a minimal initial contour seeding. The quality of the initial segmentation is then evaluated based on three different metrics that probe the contour edge strength, contour stability and object connectivity. The result of this evaluation is fed into a novel algorithm that autonomously suggests regions that require user intervention. Essentially, Spotlight flags potentially problematic image regions in a prioritized fashion based on an optimization process for improving the final 3D segmentation. We present a variety of qualitative and quantitative examples demonstrating Spotlight's intuitive use and proven utility in reducing user input by increasing automation.