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Annotated Contraction Kernels for Interactive Image Segmentation

机译:带注释的收缩核用于交互式图像分割

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摘要

This article shows how the interactive segmentation tool termed "Active Paintbrush" and a fully automatic region merging can both be based on the theoretical framework of contraction kernels within irregular pyramids instead of their own, specialized data structures. We introduce "continous pyramids" in which we purposely drop the common requirement of a fixed reduction factor between successive levels, and we show how contraction kernels can be annotated for a fast navigation of such pyramids. Finally, we use these concepts for improving the integration of the automatic region merging and the interactive tool.
机译:本文说明了称为“主动画笔”的交互式分段工具和全自动区域合并如何都可以基于不规则金字塔内收缩内核的理论框架,而不是它们自己的专用数据结构。我们引入了“连续金字塔”,在其中我们有意地在连续级别之间降低了固定缩减因子的通用要求,并展示了如何为快速导航此类金字塔注释收缩核。最后,我们使用这些概念来改进自动区域合并和交互式工具的集成。

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