Application of an Improved Feature Extraction Method in Intelligent Loading

doi:10.3969/j.issn.1009-086x.2020.06.017

Modern Defense Technology ›› 2020, Vol. 48 ›› Issue (6): 114-120.DOI: 10.3969/j.issn.1009-086x.2020.06.017

• INTEGRATED TEST，LAUNCH CONTROL TECHNOLOGY • Previous Articles

Application of an Improved Feature Extraction Method in Intelligent Loading

SUN Yan-yi, DING Li-ping, ZHANG Ya-li, GAN Xing-ye, TANG Ri-jia, HAN Rui

Shanhai Institute of Mechanical and Electrical Engineering,Shanhai 201109,China

Received:2020-03-27 Revised:2020-06-29 Online:2020-12-20 Published:2021-02-01

一种改进特征提取方法在智能装填中的应用

孙棪伊, 丁立平, 张亚莉, 干兴业, 汤日佳, 韩锐

上海机电工程研究所,上海 201109

作者简介:孙棪伊(1993-),女,辽宁建平人。助工,硕士,主要从事发控系统设计工作。通信地址:201109 上海市闵行区沅江路3888号 E-mail:sunyanyifri@163.com

Abstract

Abstract: Image processing technology is one of the key technologies of intelligent automatic loading and unloading design.In order to solve the problems of missile accurate positioning and grasping device accurate operation in the loading and unloading process,an image enhancement algorithm and improved edge feature extraction algorithm were proposed.Experiment results of image processing show that the algorithm is robust to highlight,rain and fog,et al.

Key words: image enhancement, edge detection, Canny, intelligent loading, machine vision, robust to enhance

摘要： 图像处理技术是智能装填设计的关键技术之一,为解决装卸过程中,筒弹精确定位、抓取装置精准操作等问题,提出了一种改进的图像边缘特征提取算法,并通过实验给出了图像处理结果。结果表明,该算法对强光、雨雾等环境具有良好的鲁棒性,适应野外使用要求。

关键词: 图像增强, 边缘检测, 坎尼算子, 智能装填, 机器视觉, 鲁棒增强

CLC Number:

SUN Yan-yi, DING Li-ping, ZHANG Ya-li, GAN Xing-ye, TANG Ri-jia, HAN Rui. Application of an Improved Feature Extraction Method in Intelligent Loading[J]. Modern Defense Technology, 2020, 48(6): 114-120.

孙棪伊, 丁立平, 张亚莉, 干兴业, 汤日佳, 韩锐. 一种改进特征提取方法在智能装填中的应用[J]. 现代防御技术, 2020, 48(6): 114-120.

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Application of an Improved Feature Extraction Method in Intelligent Loading

一种改进特征提取方法在智能装填中的应用

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