A Natural Scene Edge Detection Algorithm Based on Image Fusion
文献类型：会议论文
| 作者 | Weichao,Ding; Zhile, Yang; Liangbing, Feng |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 香港 |
| 英文摘要 | Convolutional neural network (CNN) has been widely used in the edge detection areas and shown competitive results. However, with the increase of receptive fields, the convolution features in CNN gradually become rough and difficult to figure out. To tackle with the problem, a novel network is proposed in this paper, making full use of the multi-scale and multi-level information of the object to perform image-to-image prediction, and combining all distinctive convolution features in a holistic manner. Further, the effect of simply connecting the feature map is enhanced by an image fusion algorithm to improve the utilization of features. The feature maps obtained by convolutions of each layer are fused through the fusion network to obtain a more detailed feature. The improved algorithm is validated in the BSDS500 dataset and the ODS F-measure has reached 0.818, which significantly exceeds the current state-of-the-art results. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14070]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Weichao,Ding,Zhile, Yang,Liangbing, Feng. A Natural Scene Edge Detection Algorithm Based on Image Fusion[C]. 见:. 香港. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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