基于计算机技术的高速串行光纤图像实时采集方法  

High speed serial optical fiber image real time acquisition method based on computer technology

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作  者:杨阳[1] 张慧娥[1] 杨爱 杨光耀 杨光 YANGY Yang;ZHANG Hui e;YANG Ai;YANG Guang Yao;YANG Guang(Xi'an Siyuan University,Xi'an 710038,China;Xi'an Jiaotong University,Xi'an 710049,China;Zhonglongda(Xi'an)Construction Engineering Co Ltd,Xi'an 712000,China)

机构地区:[1]西安思源学院,西安710038 [2]西安交通大学继续教育学院,西安710049 [3]中隆达(西安)建设工程有限公司,西安712000

出  处:《自动化与仪器仪表》2022年第5期31-35,共5页Automation & Instrumentation

基  金:陕西省教育科学“十三五”规划2020年度课题:“互联网+”背景下民办高校应用型人才创新创业培养模式研究(SGH20Y1428)。

摘  要:在目前的图像实时采集方法中,对采集到的图像信号的噪声滤波不足,影响采集图像的质量。因此,提出基于计算机技术的高速串行光纤图像实时采集方法设计研究。采用计算机技术中值滤波法,对采集到的图像进行数据滤波去噪。通过Mallat算法将去噪后的图像进行分解并重构小波函数,获得完整的图像数据信号,进一步分析和变换重构后的小波函数。通过链码方式提取图像的轮廓和特征链码,实现图像采集。实验结果显示,设计的图像采集方法采集到的数据受噪声影响更低,信噪比改善因子的均值分别为-5.9762和-4.6691,并且图像质量更好,因此,证明研究方法满足设计目的,有效提高了采集图像的质量。In the current real-time image acquisition methods,the noise filtering of the collected image signal is insufficient,which affects the quality of the collected image.Therefore,the design and research of high-speed serial optical fiber image real-time acquisition method based on computer technology is proposed.The median filtering method of computer technology is used to filter and denoise the collected images.Mallat algorithm was used to decompose the denoised image and reconstruct the wavelet function,so as to obtain the complete image data signal,and further analyze and transform the reconstructed wavelet function.Image acquisition is realized by extracting contour and feature chain code of image by chain code method.The experimental results show that the data collected by the designed image acquisition method is less affected by noise,the mean of SNR improvement factor is-5.9762 and-4.6691,respectively,and the image quality is better.Therefore,it proves that the research method meets the design purpose and effectively improves the quality of the collected image.

关 键 词:图像实时采集 噪声滤波 MALLAT算法 中值滤波法 图像轮廓结构 

分 类 号:TP29[自动化与计算机技术—检测技术与自动化装置] TB92[自动化与计算机技术—控制科学与工程]

 

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