Salient object detection based on HDCT and the prior boundary | |
Li, Ce; Wan, Yuqi; Jia, Shengze; Liu, Hao | |
2018-08-17 | |
会议日期 | August 17, 2018 - August 19, 2018 |
会议地点 | Nanjing, China |
关键词 | Discrete cosine transforms Object recognition Signal detection Frequency information HDCT Image blocks Low-frequency energy Object region Piror boundary Saliency map Salient object detection |
DOI | 10.1145/3240876.3240917 |
英文摘要 | It is difficult to detect the accurate boundary of the object from the frequency information of image. In order to solve this problem, a new salient object detection algorithm which is combined Hypercomplex Discrete Cosine Transform (HDCT) and the prior boundary is proposed. Firstly, we divide the images into image blocks, and the HDCT is performed on each image block. Then the features of the image block are represented by the information of low frequency energy. Finally, the saliency map is calculated according to the prior boundary. The experiments show that the performance of the proposed algorithm is much better than the other classical salient object detection algorithms. At the same time, the boundary of the detected object region is much clearer. © 2018 ACM. |
会议录 | ACM International Conference Proceeding Series |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117997] |
专题 | 兰州理工大学 |
作者单位 | College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China |
推荐引用方式 GB/T 7714 | Li, Ce,Wan, Yuqi,Jia, Shengze,et al. Salient object detection based on HDCT and the prior boundary[C]. 见:. Nanjing, China. August 17, 2018 - August 19, 2018. |
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