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基于DSP实时双光谱图像处理系统设计

Image Processing System Design of Real-Time Dual-Spectrum Image Fusion System Based on DSP

【作者】 余学思

【导师】 庞其昌;

【作者基本信息】 暨南大学 , 光学, 2008, 硕士

【摘要】 在高压电路传输、变电站和配电系统的传输导线上都有可能发生电晕和电弧放电现象。利用日盲紫外探测技术,设计和开发检测电晕放电的双光谱图像检测系统。高速信号处理是图像实时处理技术得以广泛应用,并推动其向前发展的重要因素。使用先进、高速DSP作为图像处理系统的主处理芯片,保证图像处理算法的实现,可以充分发挥DSP可编程、高速、流水线结构、并行性好、稳定性好等特点,以达到多通道图像实时处理的目的。本论文的研究重点是基于DSP实时双光谱图像处理系统的设计。介绍了紫外检测技术和数字信号图像处理系统的原理以及国内外研究现状和发展水平;在对DSP特征进行分析的基础上,深入研究探讨了DSP实时处理系统的软件设计思想和各软件模块的工作过程,并在软件开发环境CCS下,应用实时底层软件DSP/BIOS设计了图像的传输和处理模块。针对信号图像有强度较弱、发生时间随机性、瞬时性、对比度低和噪声大的特点,对相关的图像处理算法进行了全面深入的分析比较,确定采用在图像二值化去噪处理的基础上,进行图像的加权平均融合的总体图像处理方案,并在基于DSP的系统上进行了实验,得到较好的处理效果,满足了系统实时处理的要求。

【Abstract】 Corona and spark discharge may appear on high voltage power network, substation and distribution etc. UV and visible double spectrum image system is designed to detect corona discharge by using solar blind ultraviolet detection technology. Highly digital signal processing gives an impetus to real-time image processing. With the usage of DSP, multi-channel image fusion can be achieved in high speed, as it has the virtue of programmable, high speed, pipeline architecture, parallelism and stable.This thesis focuses on image processing design of the UV and visible double spectrum image system. The paper introduces the concept, significance and international and internal developmental status of the UV signal detection and digital signal processing system. Based on the analysis of DSP’s structure characteristics, design thought of system software and working process of each software module are deeply discussed, data acquisition module and processing module are compiled by using DSP/BIOS of CCS. With system image’s signal characteristic of weak strength, randomness, transient, low contrast and a great deal of noises, related image processing algorithms are deeply analyzed, image binarization and weighted averaging fusion are finally used as system’s image processing programme. Thought the experiments on DSP circuit board, it is proved to get a better effect and meet the system real-time needs.

【关键词】 实时双光谱DSP图像二值化图像融合
【Key words】 real-timedouble spectrumDSPimage binarizationimage fusion
  • 【网络出版投稿人】 暨南大学
  • 【网络出版年期】2009年 03期
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