Knowledge Commons of Institute of Automation,CAS
An overview of contour detection approaches | |
Gong XY(宫新一)1,2; Hu Su1; De Xu1; Zhengtao Zhang1; Fei Shen1; Huabin Yang1 | |
发表期刊 | International Journal of Automation and Computing |
2018-12 | |
卷号 | 15期号:6页码:656-672 |
摘要 | Object contour plays an important role in fields such as semantic segmentation and image classification. However, the extraction of the contour is a difficult task, especially when the contour is incomplete or unclosed. In this paper, existing contour detection approaches are reviewed and roughly divided into three categories: pixel-based, edge-based, and region-based. In addition, while the traditional contour detection approaches have achieved a high degree of sophistication, deep convolutional neural networks (DCNNs) have demonstrated a good performance in image recognition, and therefore, the DCNNs based contour detection approaches are also covered in this paper. Furthermore, the future development of contour detection is analyzed and predicted. |
关键词 | Contour Detection, Contour Salience, Gestalt Principle, Contour Grouping, Active Contour |
收录类别 | EI |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23674 |
专题 | 中科院工业视觉智能装备工程实验室_精密感知与控制 |
通讯作者 | Huabin Yang |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学人工智能学院 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Gong XY,Hu Su,De Xu,et al. An overview of contour detection approaches[J]. International Journal of Automation and Computing,2018,15(6):656-672. |
APA | Gong XY,Hu Su,De Xu,Zhengtao Zhang,Fei Shen,&Huabin Yang.(2018).An overview of contour detection approaches.International Journal of Automation and Computing,15(6),656-672. |
MLA | Gong XY,et al."An overview of contour detection approaches".International Journal of Automation and Computing 15.6(2018):656-672. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
an overview of conto(8437KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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