IR
Salient object detection based on HDCT and the prior boundary
Li, Ce; Wan, Yuqi; Jia, Shengze; Liu, Hao
2018-08-17
会议名称10th International Conference on Internet Multimedia Computing and Service, ICIMCS 2018
会议录名称ACM International Conference Proceeding Series
会议日期August 17, 2018 - August 19, 2018
会议地点Nanjing, China
出版者Association for Computing Machinery
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.
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
DOI10.1145/3240876.3240917
收录类别EI
语种英语
EI入藏号20184406015419
EI主题词Object detection
来源库Compendex
分类代码716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 921.3 Mathematical Transformations
引用统计
文献类型会议论文
条目标识符https://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
第一作者单位兰州理工大学
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]:Association for Computing Machinery,2018.
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