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基于分形特征的目标检测算法概述及仿真
引用本文:诸葛霞, 向健勇. 基于分形特征的目标检测算法概述及仿真[J]. 红外技术, 2006, 28(10): 576-579. DOI: 10.3969/j.issn.1001-8891.2006.10.004
作者姓名:诸葛霞  向健勇
作者单位:西安电子科技大学技术物理学院光电图像处理研究室,陕西,西安,710071;西安电子科技大学技术物理学院光电图像处理研究室,陕西,西安,710071
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.

关 键 词:分形特征  目标检测  图像处理
文章编号:1001-8891(2006)10-0576-04
收稿时间:2006-06-02
修稿时间:2006-06-02

The Summarization and Simulation of Target-detection Algorithms Based on Fractal Features
ZHUGE Xia, XIANG Jian-yong. The Summarization and Simulation of Target-detection Algorithms Based on Fractal Features[J]. Infrared Technology , 2006, 28(10): 576-579. DOI: 10.3969/j.issn.1001-8891.2006.10.004
Authors:ZHUGE Xia  XIANG Jian-yong
Abstract: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.
Keywords:fractal features   target detection   image processing
本文献已被 CNKI 维普 万方数据 等数据库收录!
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