简单背景上目标的自动识别
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Automatic Recognition of Objects on Simplified Background
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    摘要:

    本文提出了一种在简单背景上的军事目标,主要是飞机和坦克等目标的自动识别方法,在数字处理上分为噪声滤波、目标分割、特征提取、分类识别和偏差值测量等几步。各步都采用简单而有效的算法:用中值滤波去除噪声;用直方图拟合法进行目标分割;用改进的矩不变量表示特征;用最近邻法进行识别;用投影值求目标中心以测量偏差。对各个过程都用实验型图象处理系统进行仿真处理,证明这种方法可以在简单背景(相当于噪声较小情况)下有效地工作。各种算法都比较简单,因此可以用多级微处理机级联来实现。

    Abstract:

    An Automatic Recognition Procedure is provided to recognize military objects on simplified background,such as aeroplanes and tanks,etc. There are several steps in the digital processing procedure,they are noise filtering,object segmentation,feature extraction,classification and displacement measuring. Simple and effective algorithms are used in each step. They are median filtering for noise cleaning,histogram fitting algorithm for object segmentation,advanced moment invariant for feature extraction,nearest neighbor rule for object recognition and projection center measuring for displacement measurement of the object center. Simulation is applied to each procedure through an experimental image processing system and this method is proved to work effectively On simplified background,ie. low noise condition. Since all the algorithms are simple,the system may be accomplished with multi microprocessor cascade.

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王绍霖,高广珠,温殿魁,等.简单背景上目标的自动识别[J].国防科技大学学报,1985,(3):37-45.
Wang Shaolin, Gao Guangzhu, Wen Diankui, et al. Automatic Recognition of Objects on Simplified Background[J]. Journal of National University of Defense Technology,1985,(3):37-45.

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  • 收稿日期:1985-01-05
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  • 在线发布日期: 2017-08-18
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