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机构地区:[1]东北林业大学机电工程学院,哈尔滨150040
出 处:《森林工程》2018年第1期60-64,共5页Forest Engineering
基 金:国家自然科学基金项目(31370710);黑龙江省博士后安家启动科研基金(LBH-Q13007)
摘 要:林木冠层参数已被广泛应用于森林生态系统研究。随着数字图像的发展,图像方法成为林木冠层参数测量的主要方法之一。林木冠层图像采集与处理系统的小型化与快速化,对于机器视觉和智能系统的发展和应用有着重要的意义。本文以TI公司的TMS320DM642高速信号处理器为核心,采用Otsu算法作为图像处理算法,通过Code Composer Studio(CCS)开发环境进行软件编程,设计了一种林木冠层图像实时采集与处理系统,包括图像数据的采集、处理等主要部分,最后对系统进行了软硬件调试和图像处理实验。实验结果表明,所设计的系统可以实时、有效地完成林木冠层图像的采集与处理。该系统具有实时性强、成本低、设备体积小、功耗低等优势,具有一定的理论和实际应用价值。Forest canopy parameters have been widely used in forest ecosystem research. With the development of digital images, the image method has become one of the main methods to measure forest canopy parameters. The development of forest canopy image acquisition and processing system with small volume and fast speed is of great significance for the machine vision and intelligent sys-tems. In this paper, a real-time image acquisition and processing system was designed, which used TI TMS320DM642 high-speed signal processor as the core and Otsu^ method as the image processing algorithm. Under Code Composer Studio (CCS) develop envi-ronment ,the main function modules of the system was designed. The system included image acquisition, processing and other main parts. Finally, the software and hardware debugging and image processing experiments are carried out on the system. Experiment re-sults showed that the designed system can complete the collection and processing of forest canopy image timely and effectively. The system has the advantages of real-time, low cost, small equipment, low power consumption, and has great values both on theory and practice.
分 类 号:S718.42[农业科学—林学] TP391[自动化与计算机技术—计算机应用技术]
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