摘要
对目前比较常用的基于分形特征的目标检测算法进行了概述,并给出了相应的仿真结果。从仿真结果我们看出基于多尺度分形参数的目标检测算法是一种比较精确的算法,但是计算量太大。从计算量和精确度双方面考虑快速的基于分维数和分形拟合误差的目标检测算法是一种不错的算法。
The common target-detection algorithms based on fractal features are summarized and the related simulateion results are given in this paper. According to the simulation results, the target-detection algorithm based on multi-dimensional fractal parameters is more accurate but large amounts of computing. Considering both the accuracy and the computing amount, it is a good target-detection algorithm based on fractal dimension and fractal fitting error.
出处
《红外技术》
CSCD
北大核心
2006年第10期576-579,共4页
Infrared Technology
关键词
分形特征
目标检测
图像处理
fractal features
target detection
image processing