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基于多模光纤传感器的面阵CCD显示匹配技术 被引量:2

Array CCD display technology matching technology based on multimode optical fiber sensor
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摘要 传统的面阵CCD图像匹配多采用二维矩阵排列组成光敏区,并通过点对点特征识别约束完成匹配,这种技术在外来光线干扰的环境下存在光学拖影,造成图像识别匹配过程中存在较大误差。提出一种新的多模光纤传感器面阵下的CCD显示匹配方法,通过构建多模光纤场的传输面阵CCD结构模型,描述CCD成像检测过程,采用分段拟合的方式对光学拖影尺寸进行修正,通过信息融合及噪声测量标定方法实现光学成像,计算图像尺寸相关的脉冲数,以此作为匹配过程的约束条件,从而提高面阵CCD图像匹配性能。仿真结果表明,该CCD图像显示匹配算法能提高CCD光敏面上图像的匹配精度,消除光学拖影,算法简单有效,在多模光纤图像传感器设计图像采集和处理中具有较好的应用价值。 Two-dimensional array is adopted to form photosensitive area in the traditional array CCD image matching technology and complete the matching through point to point feature recognition constraints This technique has a large error in the process of image recognition and matching for the image trail under the environment of external interference.A new CCD display matching method for multi mode optical fiber sensor array is proposed in this paper , through the construction of a multi-mode fiber transmission surface field array CCD structure model , describing the CCD imaging process , and piecewise fitting technology is used to revise the size of image trail , optical imaging is realized by the method of information fusion and noise measurement calibration , and calculation the number of pulses which can be used as the constraint condition of the matching process to improve the matching performance of the CCD image.The simulation results show that the CCD image matching algorithm can improve the accuracy of image matching CCD photosensitive surface eliminating optical image trail the proposed algorithm is simple and effective and has good application value in multimode optical fiber image sensor of image acquisition and processing.
作者 周鑫 王庆福 倪娟 尹波 ZHOU Xin WANG Qingfu NI Juan YIN Bo(Department of Communication Engineering , Chongqing College of Electronic Engineering , Chongqing 401331, China Department of Information Technology , Liaoning Academy of Governance , Shenyang , Liaoning 110161, China Unit 94303 of PLA , Weifang , Shangdong 261051, China Unit 94860 of PLA , Nanjing , Jiangsu 210018, China)
出处 《燕山大学学报》 CAS 北大核心 2017年第2期177-182,共6页 Journal of Yanshan University
基金 四川省教育厅科研项目(SCYG2015-2-12)
关键词 图像 传感器 CCD 光敏区 image sensor CCD photosensitive area
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