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人工智能技术的激光成像雷达图像边缘检测

Edge detection of lidar image based on artificial intelligence
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摘要 传统方法检测结果会出现双边缘,不符合理想边缘要求,为此,提出人工智能技术的激光成像雷达图像边缘检测方法。利用人工智能技术过滤图像边缘特征点,再选取尺度参数,计算激光成像雷达图像边缘最优尺度。完成上述工作后,计算图像边缘分块阈值,完成图像边缘检测。由此,完成人工智能技术的激光成像雷达图像边缘检测方法的设计。实验在MATLAB2016a操作环境下完成,选取一幅激光成像雷达图像,分别测试两个检测方法的SNR和CIR值和理想边缘,所提方法检测结果出现伪边缘,符合理想边缘要求。且SNR比传统方法的SNR值大,CIR值更接近于1,说明人工智能技术的激光成像雷达图像边缘检测方法更优。 Traditional methods cannot get ideal edge detection results because of the influence of environment.Therefore,an edge detection method of laser imaging radar image based on artificial intelligence technology is proposed.Using artificial intelligence technology to filter image edge feature points,and then select scale parameters to calculate the optimal scale of laser imaging radar image edge.After the above work,the image edge segmentation threshold is calculated and the image edge detection is completed.Thus,the edge detection method of laser imaging radar image based on artificial intelligence technology is designed.The experiment is completed under the operating environment of MATLAB2016 a.A laser imaging radar image is selected and the sum value and ideal edge of the two detection methods are tested respectively.The detection results of the proposed method show that the pseudo edge meets the requirements of the ideal edge.Compared with traditional method,the value is larger and closer to 1,indicate that the edge detection method of laser imaging radar image based on artificial intelligence technology is better.
作者 陈卫丽 贾超 CHEN Weili;JIA Chao(School of Information Technology and Engineering,Guangzhou College of Commerce,Guangzhou 511363,China)
出处 《激光杂志》 北大核心 2020年第6期85-88,共4页 Laser Journal
基金 广东省级科技计划项目(No.2017B090901043) 广东省普通高校青年创新人才类项目(No.2018KQNCX302) 广东省本科高校教育教学改革项目(No.GDJG2016005) 广东省本科高校教育教学改革项目(No.GDJG2016005)。
关键词 人工智能技术 图像边缘 噪声过滤 特征点 边界信息 成像效果 artificial intelligence technology image edge noise filtering feature points boundary information imaging effect
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