检索结果-南通市图书馆

visual identification Method and Implementation of Impurities in Food Grain

在线全文

学校读者我要写书评

暂无评论

引用

Agricultural Science & Technology 2009年第5期10卷 42-44,54页

作者：朱铮涛郑国盾广东工业大学信息工程学院广东广州510006 中炬高新技术实业(集团)股份有限公司广东中山528437

A method to check impurities in food grain based on digital image processing is proposed in this study. According to the feature of the impurity, one image with twice processing is put forward based on blob analysis, which eliminates impurities that were brighter or darker than normal particles. With the image processing system developed by Matrox Imaging Library, black and white blobs are extracted for twice with one function, and then the size and the position of impurities are calculated quickly through mathematical morphologic and blob analysis. The method can be extended and applied in other fields due to its advantages of quick speed and high accuracy.

关键词： Food grain visual identification Blob analysis

Vision-based docking system for an aromatic-hydrocarbon-inspired reconfigurable robot

在线全文

学校读者我要写书评

暂无评论

引用

Science China(Technological Sciences) 2024年第6期67卷 1798-1816页

作者： XING FangYi XU Cheng LIU JinGuo XUE ZhiHui State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang110158China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China University of Chinese Academy of Sciences Beijing100049China

Aromatic hydrocarbons generally refer to compounds containing benzene *** types of isomers can be formed by replacing hydrogen atoms on the benzene *** this paper,an aromatic-hydrocarbon-inspired modular robot(AHIMR)is *** robot can be reassembled into different configurations suitable for various task requirements.A vision-based docking system is designed for the *** system primarily consists of two stages:a remote guidance stage and a precise docking *** the remote guidance stage,an object module is identified using an illumination adaptive target recognition algorithm,and then the active module moves to the docking area through communication with *** the precise docking stage,the active module calculates the relative pose with the object module using a perspective-n-point method and dynamically adjusts its posture to *** this process,a Kalman filter is used to reduce target occlusion and jitter *** addition,the docking system feasibility is verified via several simulation *** module docking accuracy is controlled within 0.01 m,which meets the reconfiguration task requirements of the *** the AHIMR submodule docking experiment,the active module accurately moves to the expected position with a docking success rate of 95%.

关键词： modular robot reconfiguration aromatic hydrocarbon autonomous docking visual identification

Illumination Adaptive identification Algorithm of a Reconfigurable Modular Robot

在线全文

学校读者我要写书评

暂无评论

引用

Instrumentation 2024年第1期11卷 79-87页

作者： Fangyi Xing Cheng Xu Yanming Wu Hongwei Gao School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang 110158 State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016 School of Instrument Science and Engineering Southeast UniversityNanjing 210096 School of Automation Shenyang Aerospace UniversityShenyang 110135

Reconfigurable modular robots feature high mobility due to their unconstrained connection *** by the snake multi-joint crawling principle,a chain-type reconfigurable modular robot(CRMR)is designed,which could reassemble into various configurations through the compound joint ***,an illumination adaptive modular robot identification(IAMRI)algorithm is proposed for *** first,an adaptive threshold is applied to detect oriented FAST features in the robot ***,the effective detection of features in non-uniform illumination areas is achieved through an optimized quadtree decomposition *** matching features,an improved random sample consensus algorithm is employed to eliminate the mismatched ***,the reconfigurable robot module is identified effectively through the perspective *** with ORB,MA,Y-ORB,and S-ORB algorithms,the IAMRI algorithm has an improvement of over 11.6%in feature uniformity,and 13.7%in the comprehensive indicator,*** IAMRI algorithm limits the relative error within 2.5 pixels,efficiently completing the CRMR identification under complex environmental changes.

关键词： reconfigurable modular robot visual identification feature detection feature matching