Morphological de-noising method in differential image for change detection | |
Li, Guoqing; Liu, Bo; Jiang, Xiujie | |
刊名 | Journal of Convergence Information Technology |
2012 | |
卷号 | 7期号:8页码:92-100 |
ISSN号 | 1975-9320 |
通讯作者 | Li, G. (gooking@163.com) |
中文摘要 | The differential image plays an important role in applications of video processing. In this article, the features of noise distribution in the differential image are discussed. Different with previous work which focused on the intensity distribution of differential image with pixels absolute value, the isolation of the noises in spatial distribution and the fluctuation of the value signs are considered to be important features to distinguish the noises and useful signals for change detection in differential image. With objects moving in the continuous frames, the significant regions whose pixels value are non-zero show different features from noise whose pixels value are non-zero too. Based on these different features, a simple method composed by basic morphology operations, closing and opening operations, is proposed to de-noise in differential image for change detection. Results of experiments show that the method is satisfactory in de-noising and low in computational complexity. |
英文摘要 | The differential image plays an important role in applications of video processing. In this article, the features of noise distribution in the differential image are discussed. Different with previous work which focused on the intensity distribution of differential image with pixels absolute value, the isolation of the noises in spatial distribution and the fluctuation of the value signs are considered to be important features to distinguish the noises and useful signals for change detection in differential image. With objects moving in the continuous frames, the significant regions whose pixels value are non-zero show different features from noise whose pixels value are non-zero too. Based on these different features, a simple method composed by basic morphology operations, closing and opening operations, is proposed to de-noise in differential image for change detection. Results of experiments show that the method is satisfactory in de-noising and low in computational complexity. |
学科主题 | 空间技术 |
收录类别 | EI |
语种 | 英语 |
公开日期 | 2014-12-15 |
内容类型 | 期刊论文 |
源URL | [http://ir.nssc.ac.cn/handle/122/3332] |
专题 | 国家空间科学中心_其他部室 |
推荐引用方式 GB/T 7714 | Li, Guoqing,Liu, Bo,Jiang, Xiujie. Morphological de-noising method in differential image for change detection[J]. Journal of Convergence Information Technology,2012,7(8):92-100. |
APA | Li, Guoqing,Liu, Bo,&Jiang, Xiujie.(2012).Morphological de-noising method in differential image for change detection.Journal of Convergence Information Technology,7(8),92-100. |
MLA | Li, Guoqing,et al."Morphological de-noising method in differential image for change detection".Journal of Convergence Information Technology 7.8(2012):92-100. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论