Study on the Camouflaged Target Detection Method Based on 3D Convexity
Yuxin Pan,
Yiwang Chen,
Qiang Fu,
Ping Zhang and
Xin Xu
Modern Applied Science, 2011, vol. 5, issue 4, 152
Abstract:
To effectively detect the camouflaged target in the complex background, the target detection method based on 3D convexity is proposed in this article. This method uses a new operator which can fully utilize the representative image gray level represented by the convexity structure of the target, set up appropriate threshold to eliminate the influence of the background noise by the median filtering through the gray face of the target image, and realize the effective detection and identification of the convexity target. The experiment result shows that this method could successively detect the camouflaged targets in the complex background, better than classic edge detection method. As a new camouflaged target detection and evaluation technology, this method can provide necessary factors for the design and implementation of the camouflage technology, and promote the development of the camouflage technology.
Date: 2011
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/11633/8277 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/11633 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:5:y:2011:i:4:p:152
Access Statistics for this article
More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().