伪装
凸性
计算机科学
人工智能
计算机视觉
边缘检测
图像(数学)
面子(社会学概念)
图像处理
模式识别(心理学)
社会科学
金融经济学
社会学
经济
作者
Yuxin Pan,Yiwang Chen,Qiang Fu,Ping Zhang,Xin Xu
出处
期刊:Modern Applied Science
[Canadian Center of Science and Education]
日期:2011-08-03
卷期号:5 (4)
被引量:112
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI