基于神经网络的三维物体识别超声机器人眼系统

IEEE Symposium on Ultrasonics Pub Date : 1990-12-04 DOI:10.1109/ULTSYM.1990.171384

S. Watanabe, M. Yoneyama

{"title":"基于神经网络的三维物体识别超声机器人眼系统","authors":"S. Watanabe, M. Yoneyama","doi":"10.1109/ULTSYM.1990.171384","DOIUrl":null,"url":null,"abstract":"A novel imaging system has been devised by combining acoustic imaging with neural networks. Information on ultrasonic scattered waves from objects is converted into an acoustic image. Several feature images are calculated, and then a neural network integrates their images and reconstructs a fine image. With this system, using simple shape objects as teaching patterns, images of unknown objects can be restored.<<ETX>>","PeriodicalId":412254,"journal":{"name":"IEEE Symposium on Ultrasonics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An ultrasonic robot eye system for three-dimensional object recognition using neural network\",\"authors\":\"S. Watanabe, M. Yoneyama\",\"doi\":\"10.1109/ULTSYM.1990.171384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel imaging system has been devised by combining acoustic imaging with neural networks. Information on ultrasonic scattered waves from objects is converted into an acoustic image. Several feature images are calculated, and then a neural network integrates their images and reconstructs a fine image. With this system, using simple shape objects as teaching patterns, images of unknown objects can be restored.<<ETX>>\",\"PeriodicalId\":412254,\"journal\":{\"name\":\"IEEE Symposium on Ultrasonics\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Ultrasonics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ULTSYM.1990.171384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Symposium on Ultrasonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.1990.171384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

将声成像与神经网络相结合，设计了一种新型成像系统。来自物体的超声波散射波信息被转换成声学图像。首先对多幅特征图像进行计算，然后用神经网络对特征图像进行整合，重建出一幅精细图像。该系统以形状简单的物体作为教学模式，实现了对未知物体图像的还原。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An ultrasonic robot eye system for three-dimensional object recognition using neural network

A novel imaging system has been devised by combining acoustic imaging with neural networks. Information on ultrasonic scattered waves from objects is converted into an acoustic image. Several feature images are calculated, and then a neural network integrates their images and reconstructs a fine image. With this system, using simple shape objects as teaching patterns, images of unknown objects can be restored.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Symposium on Ultrasonics

自引率

0.00%

发文量