.png){kind=icon}
返回
Twofold consensus for boundary detection ground truth
.png){kind=icon}
PRE
AI
DOI：10.1016/j.knosys.2016.01.033.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the evaluation of boundary detection methods it is common to use as ground truth a set of boundary images that are hand-made by human experts. This work proposes a novel representation of this ground truth. More specifically, we propose to combine the hand-made boundary images into a set-based consensus, which is constructed from the concordances and discordances among the images. We study the theoretical and visual properties of this consensus and present an application to boundary image quality evaluation. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Boundary detection
Quality evaluation
Binary image
Consensus image
Ground truth
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
K
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Multisensor image fusion in remote sensing: concepts, methods and applications遥感多传感器图像融合: 概念、方法与应用
OAAI
OAAI分享收藏Late gadolinium enhancement on cardiac magnetic resonance combined with 123I- metaiodobenzylguanidine scintigraphy strongly predicts long-term clinical outcome in patients with dilated cardiomyopathy.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容