摘要
针对复杂背景下红外图像目标准确分割的难题,提出一种基于动态规划理论的边缘检测方法.首先根据分形理论,利用红外图像的灰度特征及纹理特征建立优化控制函数;利用局部自适应门限技术寻找潜在目标点,计算最小累计代价阵;在动态规划理论的最优控制下,完成复杂背景下红外图像中目标的边缘检测.实验结果表明,该方法能够有效地提取目标,减少虚警率.
With the view of the difficulty that an infrared target is segmented accurately under complex background. An edge detection method based on dynamic programming （DP） is proposed. Firstly, optimal control function based on different fractal dimensions and gray level features is created. The second step is to seek the latent object point by locally adaptive threshold technique and to calculate the minimum cumulative cost matrix. Finally the optimal and connected contours are determined by DP theory. Experiment result with real targets show that the method can detect the target effectively and reduce the false alarm probability.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2005年第10期909-912,共4页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(2002AA803032)
关键词
红外图像
动态规划
边缘检测
分形维
代价矩阵
infrared image
dynamic programming
edge detection
fractal dimensions
cost matrix
