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基于DAM6416P处理平台对光学图像弱小目标的分割
引用本文:邓俊云,姜长生.基于DAM6416P处理平台对光学图像弱小目标的分割[J].电光与控制,2009,16(6).
作者姓名:邓俊云  姜长生
作者单位:1. 南京航空航天大学自动化学院,南京,210016;桂林空军学院,广西,桂林,541003
2. 南京航空航天大学自动化学院,南京,210016
摘    要:针对空天背景光学图像中弱小目标的特点,结合以TMS320DM6416 DSP芯片为主处理器的硬件处理平台的资源性征,设计了两种适合硬件处理平台实现的目标提取算法,并进行了比较.实验证明该算法检测效率高,实时性好.

关 键 词:目标检测  最佳阈值分割  硬件平台  光学探测

Image Segmentation of Dim Point-Target in Optic Image Based on DAM6416P Processing Platform
DENG Junyun,JIANG Changsheng.Image Segmentation of Dim Point-Target in Optic Image Based on DAM6416P Processing Platform[J].Electronics Optics & Control,2009,16(6).
Authors:DENG Junyun  JIANG Changsheng
Affiliation:1.Nanjing University of Aeronautics and Astronautics;Nanjing 210016;China;2.Guilin College of Air Force;Guilin 541003;China
Abstract:Considering the characteristics of infrared dim point-targets against the sky background,and by using the hardware processing platform taking TMS320DM6416 chip as CPU,we put forward two object extraction algorithms for dim point-target detection which can be easily implemented on the hardware processing platform.Experimental results showed that the algorithms are efficient in dim point-target detection and have fine real-time performance.
Keywords:target detection  optimized threshold segmentation  hardware processing platform  optical acquisition  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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