区域边界一致凸轮廓提取的绕组数

Y. Ming, Hongdong Li, Xuming He
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引用次数: 10

摘要

本文的目的是从图像中提取显著的闭合轮廓。对于该视觉任务,区域分割线索(如颜色/纹理均匀性)和边界检测线索(如局部对比度、边缘连续性和轮廓闭合)都起着重要的互补作用。在本文中,我们展示了如何在一个统一的框架中结合这两种线索。重点是如何保持区域线索和边界线索之间的一致性(兼容性)。为此,我们介绍了圈数的使用——一个在拓扑学中众所周知的概念——作为一个强大的数学工具。通过这种方法,区域边界一致性被表示为一组简单的线性关系。该方法已应用于图像-背景分割问题。实验结果明显改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Winding Number for Region-Boundary Consistent Salient Contour Extraction
This paper aims to extract salient closed contours froman image. For this vision task, both region segmentation cues (e.g. color/texture homogeneity) and boundary detection cues (e.g. local contrast, edge continuity and contour closure) play important and complementary roles. In this paper we show how to combine both cues in a unified framework. The main focus is given to how to maintain the consistency (compatibility) between the region cues and the boundary cues. To this ends, we introduce the use of winding number-a well-known concept in topology-as a powerful mathematical device. By this device, the region-boundary consistency is represented as aset of simple linear relationships. Our method is applied to the figure-ground segmentation problem. The experiments show clearly improved results.
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