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红外海面小目标检测的并行实现技术
引用本文:曹治国,左峥嵘,桑农,张天序.红外海面小目标检测的并行实现技术[J].华中科技大学学报(自然科学版),2001,29(12):52-54.
作者姓名:曹治国  左峥嵘  桑农  张天序
作者单位:华中科技大学图像识别与人工智能研究所,
基金项目:国家自然科学基金资助项目 ( 69875 0 0 5 )
摘    要:提出了红外海面小目标检测的并行实现方案,该方案采用了基于多级滤波的小目标检测方法,能在自行设计的多总线多DSP实时图像处理系统上运。详细讨论了该方案的优化问题,以获得成本最优、并行效率最高的系统并行处理方式。实验结果表明,算法是可行的,并行系统优化的理论分析是正确的。

关 键 词:图像处理  小目标检测  并行处理  DSP  红外成像  多级滤波  图像切割
文章编号:1000-8616(2001)12-0052-03
修稿时间:2001年7月4日

Parallel Implementation for Detecting Small Targets on Infrared Sea Surface
Cao Zhiguo Zuo Zhengrong Sang Nong Zhang Tianxu Assoc. Prof., Institute for Pattern Recognition & AI,HUST,Wuhan ,China..Parallel Implementation for Detecting Small Targets on Infrared Sea Surface[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2001,29(12):52-54.
Authors:Cao Zhiguo Zuo Zhengrong Sang Nong Zhang Tianxu Assoc Prof  Institute for Pattern Recognition & AI  HUST  Wuhan  China
Institution:Cao Zhiguo Zuo Zhengrong Sang Nong Zhang Tianxu Assoc. Prof., Institute for Pattern Recognition & AI,HUST,Wuhan 430074,China.
Abstract:In this paper, parallel implementation for detecting small targets on infrared sea surface is provided, which a small detection algorithm is adopted based on multi level filters and real time image processing system is operated based on multiple bus and multi DSPs designed Optimization of this scheme is carefully discussed to get an optimal parallel implementation in cost and parallel efficiency. The experiment results show the parallel algorithm is feasible and the analysis about the optimization is correct.
Keywords:Image processing  small targets detection  parallel processing  optimization
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