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作 者:张玉柱[1] 王璇[1] ZHANG Yuzhu;WANG Xuan(Luoyang Institute of Science and Technology, Luoyang Henan 471023 ,China)
机构地区:[1]洛阳理工学院,河南洛阳471023
出 处:《激光杂志》2019年第4期68-73,共6页Laser Journal
基 金:河南省教育厅高等学校重点科研项目(No.18A460025)
摘 要:针对当前激光遥感图像识别系统在设计上采用单一固定特征提取图像,存在丢失细节且易出现过识别、整体对比度低、细节模糊等问题,设计了特征向量提取的激光遥感图像模式识别系统。硬件上选用ADSBF535作为图像识别模块的核心,采用XC2S200 FPGA作为图像输入模块的硬件支撑,输出像是模块配置单排排针连接P2对应的IO引脚,更便于DSP和LCD的连接。软件根据模糊熵理论结合特征提取结果计算图像提取区间灰度均值,按照灰度值进行标号对灰度直方图进行均衡,依据均衡后的灰度直方图对区间内的灰度采用均衡系数平移,实现区间内灰度细节的填充,完成激光遥感图像模式识别。实验结果表明,所设计系统相比当前激光遥感图像识别系统,有效提高了图像对比度和分辨率,识别了图像局部细节,显著改善了激光遥感图像模式识别效果。Aiming at the current laser remote sensing image recognition system, a single fixed feature is used to extract the image. There are some problems such as missing details and easy recognition, low overall contrast and blurred details. The laser remote sensing image pattern recognition system based on feature vector extraction is designed. The hardware uses ADS-BF535 as the core of the image recognition module. The XC2S200 FPGA is used as the hardware support of the image input module. The output is like the module configuration. The single-row pin com nection connects the IO pin corresponding to P2 , which is more convenient for the connection between DSP and LCD. The software calculates the gray mean value of the image extraction interval according to the feature extraction result, and performs the equalization of the gray histogram according to the gray value. According to the equalized gray histogram , the equalization coefficient is used for the gray level in the interval to realize the gray in the interval. The filling of the detail details completes the pattern recognition of the laser remote sensing image. The experimental results show that compared with the current laser remote sensing image recognition system, the designed system effectively improves the image contrast and resolution, identifies the local details of the image, and significantly improves the pattern recognition effect of the laser remote sensing image.
关 键 词:特征向量提取 激光遥感图像 图像模式识别 最大模糊熵
分 类 号:TN301[电子电信—物理电子学]
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