首页> 外文会议>Sixth International Conference on Quality Control by Artificial Vision May 19-22, 2003 Gatlinburg, Tennessee, USA >Application of scalable discrepancy measures for computer vision image segmentation tasks
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Application of scalable discrepancy measures for computer vision image segmentation tasks

机译:可扩展的差异度量在计算机视觉图像分割任务中的应用

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摘要

In this paper, a set of scalable discrepancy measures is applied in the context of computer vision. These measures allow tuning of edge detectors and segmentation evaluation when a reference is known. Thanks to a scale parameter in an adjustable area the proposed measures allows to weight the importance of over-detection as well as under-detection. They give the intensity of the discrepancy and its relative position.
机译:本文在计算机视觉的背景下应用了一组可扩展的差异度量。当已知参考时,这些措施允许调整边缘检测器和分割评估。由于可调整区域中的比例参数,所提出的措施允许权衡过检测和欠检测的重要性。它们给出了差异的强度及其相对位置。

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