| 模糊神经网络在图像目标检测中的应用 |
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| 引用本文： | 潘志毅,周宁.模糊神经网络在图像目标检测中的应用[J].微计算机信息,2010(5). |
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| 作者姓名： | 潘志毅 周宁 |
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| 作者单位： | 电子科技大学通信与信息工程学院; |
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| 摘 要： | 红外图像中的微弱目标检测与跟踪是数字图像处理领域中的研究热点。针对红外图像中微弱目标灰度的统计特点以及模糊神经网络在自适应噪声消除的应用,提出一种基于增强型动态模糊神经网络算法用于红外图像噪声消除。经过自适应噪声消除后,可有效的有自动阈值门限分割法进行微弱目标检测。
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| 关 键 词： | 红外图像 微弱目标 自适应 目标检测 动态模糊神经网络 |
Application of Fuzzy Neural Networks Algorithm of Target Detection in Infrared Image |
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| PAN Zhi-yi ZHOU Ning.Application of Fuzzy Neural Networks Algorithm of Target Detection in Infrared Image[J].Control & Automation,2010(5). |
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| Authors: | PAN Zhi-yi ZHOU Ning |
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| Affiliation: | PAN Zhi-yi ZHOU Ning(School of Communication , Information Engineering,University of electronic , Science Technology of China,Chengdu,Sichuan,610054,China) |
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| Abstract: | Detection and track of dim and small target in infrared images are focused in the area of digital image processing research.According to dim and small targets density statistical characteristics in infrared images and the application of fuzzy neural networks in self-adaptive noise elimination,a new method based on enhanced dynamic fuzzy neural networks is proposed,using on eliminating infrared images noise.After self-adaptive noise elimination,self-adaptive threshold can be adopted effectively for dim small... |
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| Keywords: | Infrared image Dim and small target Target detection self-adaptive Dynamic Fuzzy Neural Networks |
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