Optimization of image synthesis for complex geometry objects in the robotic ultrasonic system

D. A. Tatarnikov, Gennady P. Tsapko, Y. Pochivalov
{"title":"Optimization of image synthesis for complex geometry objects in the robotic ultrasonic system","authors":"D. A. Tatarnikov, Gennady P. Tsapko, Y. Pochivalov","doi":"10.1109/MEACS.2015.7414866","DOIUrl":null,"url":null,"abstract":"This paper is devoted to the optimization of image synthesis for complex shape objects in the robotic system of ultrasonic testing. The basis of this process is a preliminary analysis of the object with complex geometry to ensure reproducibility and accuracy of the tests in the specified range. It includes such stages as digital model creation, geometric surface analysis, creating of control points and vectors, searching for optimal model location, model verification on reachability, collisions and singularity.","PeriodicalId":423038,"journal":{"name":"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEACS.2015.7414866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper is devoted to the optimization of image synthesis for complex shape objects in the robotic system of ultrasonic testing. The basis of this process is a preliminary analysis of the object with complex geometry to ensure reproducibility and accuracy of the tests in the specified range. It includes such stages as digital model creation, geometric surface analysis, creating of control points and vectors, searching for optimal model location, model verification on reachability, collisions and singularity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
机器人超声系统中复杂几何目标图像合成的优化
本文研究了超声检测机器人系统中复杂形状物体图像合成的优化问题。该过程的基础是对具有复杂几何形状的物体进行初步分析,以确保在规定范围内测试的再现性和准确性。它包括数字模型创建、几何曲面分析、控制点和矢量的创建、模型最优位置的搜索、模型可达性验证、碰撞验证和奇点验证等阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Strengthening of plasma-spraying coats by power impulse modulation of plasmatron direct arc Neural network control over operation accuracy of memristor-based hardware Consideration of complementary error during design of the alternating current coaxial shunts Simulation of operation modes of inverter hydro-generator Method of processing of ultrasonic signal of phased array
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1