التفاصيل البيبلوغرافية
| العنوان: |
An overview of contour detection approaches |
| المؤلفون: |
Gong XY(宫新一), Hu Su, De Xu, Zhengtao Zhang, Fei Shen, Huabin Yang |
| سنة النشر: |
2018 |
| المجموعة: |
Institute of Automation: CASIA OpenIR (Chinese Academy of Sciences) / 中国科学院自动化研究所机构知识库 |
| مصطلحات موضوعية: |
Contour Detection, Contour Salience, Gestalt Principle, Contour Grouping, Active Contour |
| الوصف: |
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. |
| نوع الوثيقة: |
report |
| اللغة: |
English |
| Relation: |
International Journal of Automation and Computing; http://ir.ia.ac.cn/handle/173211/23674 |
| الاتاحة: |
http://ir.ia.ac.cn/handle/173211/23674 |
| رقم الانضمام: |
edsbas.8085B675 |
| قاعدة البيانات: |
BASE |